Query original_q: Θö«σàÑ µÅÅΦ┐░ µòÖτ¿ï
Query dims: {'action': 'Θö«σàÑ', 'type': 'µÅÅΦ┐░', 'action_l1': 'ΦÄ╖σÅû', 'constraint': None}

Form A: Θö«σàÑ µÅÅΦ┐░ µòÖτ¿ï
Total: 30, Report: 6, Discard: 24
  Result 0: Φ▒åσîàΣ╕çΦâ╜µ╢ªΦë▓µîçΣ╗ñσñºσà¿∩╝üσ╗║Φ««µö╢ΦùÅ (xhs)
    overall: 2.2, anomaly: False, decision: discard
    scores: {'relevance_production': 0.0, 'relevance_query': 2.0, 'recency': 10.0, 'popularity': 8.0, 'feedback': 5.0, 'realism': 0.0, 'expressiveness': 0.0, 'tool_boundary': 2.0, 'tool_comparison': 0.0, 'tool_specificity': 0.0, 'tool_example': 0.0, 'tool_limits': 0.0}
    knowledge_type: ['tool']
    procedure_html: None
  Result 1: (µùáµáçΘóÿ) (xhs)
    overall: 0.1, anomaly: False, decision: discard
    scores: {'relevance_production': 0.0, 'relevance_query': 0.0, 'recency': 0.0, 'popularity': 1.0, 'feedback': 0.0, 'realism': 0.0, 'expressiveness': 0.0}
    knowledge_type: []
    procedure_html: None
  Result 2: σ«óµ£ìΣ╕ìτö¿µëôσ¡ùτÜäτÑ₧σÖ¿∩╝ü (xhs)
    overall: 1.1, anomaly: False, decision: discard
    scores: {'relevance_production': 0.0, 'relevance_query': 0.0, 'recency': 0.0, 'popularity': 8.0, 'feedback': 0.0, 'realism': 0.0, 'expressiveness': 0.0}
    knowledge_type: []
    procedure_html: None
  Result 3: Σ╕ÇΘö«τöƒµêÉµëïτ╗ÿµáçµ│¿τÜäµÅÉτñ║Φ»ì (xhs)
    overall: 7.9, anomaly: False, decision: report
    scores: {'relevance_production': 9.0, 'relevance_query': 8.0, 'recency': 8.0, 'popularity': 8.0, 'feedback': 0.0, 'realism': 9.0, 'expressiveness': 9.0, 'step_input': 9.0, 'step_implementation': 10.0, 'step_output': 8.0, 'step_generality': 9.0}
    knowledge_type: ['step']
    procedure_html: None
  Result 4: Φó½AIτïáτïáµï┐µìÅ≡ƒñÄΣ╕ÇΘö«τöƒµêÉµëïτ╗ÿµ▓╗µäêPlog (xhs)
    overall: 9.0, anomaly: False, decision: report
    scores: {'relevance_production': 8.0, 'relevance_query': 9.0, 'recency': 10.0, 'popularity': 9.0, 'feedback': 8.0, 'realism': 9.0, 'expressiveness': 10.0, 'step_input': 9.0, 'step_implementation': 10.0, 'step_output': 8.0, 'step_generality': 9.0}
    knowledge_type: ['step']
    procedure_html: None
  Result 5: σòèσòèσòèµûçσæÿΘ¥óΦ»òΦ┐ÖΣ╕ëΣ╕¬µîëΘö«σ░▒σñƒσòª (xhs)
    overall: 2.1, anomaly: False, decision: discard
    scores: {'relevance_production': 0.0, 'relevance_query': 0.0, 'recency': 10.0, 'popularity': 5.0, 'feedback': 0.0, 'realism': 0.0, 'expressiveness': 0.0}
    knowledge_type: []
    procedure_html: None
  Result 6: µëôσ╖ÑΣ║║σ┐àτ£ï∩╝ü10Σ╕¬AI Promptµ¿íµ¥┐τ¢┤µÄÑµèäΣ╜£Σ╕Ü (xhs)
    overall: 4.5, anomaly: False, decision: discard
    scores: {'relevance_production': 0.0, 'relevance_query': 2.0, 'recency': 10.0, 'popularity': 6.0, 'feedback': 5.0, 'realism': 0.0, 'expressiveness': 0.0, 'step_input': 8.0, 'step_implementation': 8.0, 'step_output': 8.0, 'step_generality': 2.0}
    knowledge_type: ['step']
    procedure_html: None
  Result 7: σ¢¢µ¡ÑµòÖΣ╜áΣ╕ÇΘö«τöƒµêÉσìâσ╝áσ¢╛µûçµ¿íµ¥┐ (xhs)
    overall: 1.2, anomaly: False, decision: discard
    scores: {'relevance_production': 2.0, 'relevance_query': 3.0, 'recency': 0.0, 'popularity': 4.0, 'feedback': 0.0, 'realism': 0.0, 'expressiveness': 0.0, 'tool_boundary': 2.0, 'tool_comparison': 0.0, 'tool_specificity': 0.0, 'tool_example': 2.0, 'tool_limits': 1.0}
    knowledge_type: ['tool']
    procedure_html: None
  Result 8: ≡ƒìÄΦ«╛τ╜«σ┐½µì╖σ¢₧σñìσèƒΦâ╜ (xhs)
    overall: 0.3, anomaly: False, decision: discard
    scores: {'relevance_production': 0.0, 'relevance_query': 0.0, 'recency': 0.0, 'popularity': 2.0, 'feedback': 0.0, 'realism': 0.0, 'expressiveness': 0.0}
    knowledge_type: []
    procedure_html: None
  Result 9: ≡ƒç▓≡ƒç╛Φ»╖σñºµò░µì«µèèµêæµÄ¿τ╗ÖΣ╕ìΣ╝ÜΣ╕ïµîçΣ╗ñτÜäΣ║║∩╝ü (xhs)
    overall: 3.8, anomaly: False, decision: discard
    scores: {'relevance_production': 1.0, 'relevance_query': 2.0, 'recency': 0.0, 'popularity': 8.0, 'feedback': 5.0, 'realism': 0.0, 'expressiveness': 0.0, 'step_input': 8.0, 'step_implementation': 7.0, 'step_output': 5.0, 'step_generality': 6.0}
    knowledge_type: ['step']
    procedure_html: None
  Result 10: πÇÉσ«ÿτ╜æGEOσÆîSEOπÇæτ¼¼10µ£ƒ∩╝ÜΣ╕ôΘóÿΘí╡τÜäΣ╝ÿσîûτ╗åΦèéσÅèσ«₧µôìµòÖτ¿ïΣ╣ïMeta Description (σàâµÅÅΦ┐░)GEOΣ╝ÿσîû (gzh)
    overall: 1.2, anomaly: False, decision: discard
    scores: {'relevance_production': 0.0, 'relevance_query': 2.0, 'recency': 10.0, 'popularity': 1.0, 'feedback': 0.0, 'realism': 0.0, 'expressiveness': 0.0, 'tool_boundary': 2.0, 'tool_comparison': 0.0, 'tool_specificity': 0.0, 'tool_example': 0.0, 'tool_limits': 0.0}
    knowledge_type: ['tool']
    procedure_html: None
  Result 11: τ¡öτûæΦºúµâæ∩╝ÜσªéΣ╜òσ£¿ΦºåΘóæΣ╕¡µ╖╗σèáΦ»¡Φ¿ÇµÅÅΦ┐░∩╝ƒ (gzh)
    overall: 2.8, anomaly: False, decision: discard
    scores: {'relevance_production': 2.0, 'relevance_query': 3.0, 'recency': 10.0, 'popularity': 2.0, 'feedback': 0.0, 'realism': 0.0, 'expressiveness': 0.0, 'tool_boundary': 4.0, 'tool_comparison': 5.0, 'tool_specificity': 3.0, 'tool_example': 2.0, 'tool_limits': 2.0}
    knowledge_type: ['tool']
    procedure_html: None
  Result 12: 2.Σ╕╗Θí╡µÅÅΦ┐░Σ┐íµü»Θâ¿σêåσê╢Σ╜£ (gzh)
    overall: 0.6, anomaly: False, decision: discard
    scores: {'relevance_production': 0.0, 'relevance_query': 0.0, 'recency': 6.0, 'popularity': 1.0, 'feedback': 0.0, 'realism': 0.0, 'expressiveness': 0.0, 'tool_boundary': 0.0, 'tool_comparison': 0.0, 'tool_specificity': 0.0, 'tool_example': 0.0, 'tool_limits': 0.0}
    knowledge_type: ['tool']
    procedure_html: None
  Result 13: σê½Σ║║ΓÇ£τ╛Äσ¢╛ΓÇ¥∩╝îΦ«⌐AIΣ╕ÇτºÆσ╕«Σ╜áσñìσê╗∩╝üΣ╕ôµ▓╗Σ╕ìΣ╝ÜµÅÅΦ┐░~ (gzh)
    overall: 6.4, anomaly: False, decision: report
    scores: {'relevance_production': 9.0, 'relevance_query': 10.0, 'recency': 8.0, 'popularity': 4.0, 'feedback': 0.0, 'realism': 7.0, 'expressiveness': 7.0, 'step_input': 9.0, 'step_implementation': 8.0, 'step_output': 8.0, 'step_generality': 9.0, 'tool_boundary': 6.0, 'tool_comparison': 0.0, 'tool_specificity': 5.0, 'tool_example': 9.0, 'tool_limits': 4.0}
    knowledge_type: ['step', 'tool']
    procedure_html: None
  Result 14: σ╖ÑΣ╜£µòêτÄçτ┐╗τò¬∩╝îΦ«»Θú₧Φ╛ôσàÑµ│òµòÖτ¿ïσÉêΘ¢å (gzh)
    overall: 1.0, anomaly: False, decision: discard
    scores: {'relevance_production': 0.0, 'relevance_query': 1.0, 'recency': 6.0, 'popularity': 0.0, 'feedback': 0.0, 'realism': 0.0, 'expressiveness': 0.0}
    knowledge_type: []
    procedure_html: None
  Result 15: µÅÉτñ║Φ»ì(prompt)τÜäτö¿µ│òΓÇöΓÇöσàÑΘù¿µòÖτ¿ï (gzh)
    overall: 1.5, anomaly: False, decision: discard
    scores: {'relevance_production': 1.0, 'relevance_query': 2.0, 'recency': 8.0, 'popularity': 0.0, 'feedback': 0.0, 'realism': 0.0, 'expressiveness': 0.0, 'step_input': 2.0, 'step_implementation': 2.0, 'step_output': 1.0, 'step_generality': 1.0}
    knowledge_type: ['step']
    procedure_html: None
  Result 16: σÅ»Φâ╜µÿ»Σ╕ÇΣ╗╜µ£ÇΦ»ªτ╗åτÜäΣ┐¥σºåτ║ºCodexµòÖτ¿ï∩╝îτ£ïσ«îΣ╜áσ░▒τƒÑΘüôσ«âΣ╕║Σ╗ÇΣ╣êµ£ÇΦ┐æΦ┐ÖΣ╣êτü½ (gzh)
    overall: 4.9, anomaly: False, decision: discard
    scores: {'relevance_production': 1.0, 'relevance_query': 2.0, 'recency': 10.0, 'popularity': 8.0, 'feedback': 0.0, 'realism': 0.0, 'expressiveness': 0.0, 'tool_boundary': 8.0, 'tool_comparison': 7.0, 'tool_specificity': 8.0, 'tool_example': 7.0, 'tool_limits': 8.0}
    knowledge_type: ['tool']
    procedure_html: None
  Result 17: ChatGPTσ»╣µëïΣ╕¡σñºΘçÅτÜäµûçτî«Φ┐¢ΦíîΘ½ÿµòêτ╗╝Φ┐░σ╣╢σ«îµêÉµÆ░σåÖ∩╝îσà¿µ╡üτ¿ïµ╝öτñ║πÇÉΘÖäµîçΣ╗ñπÇæ (gzh)
    overall: 0.6, anomaly: False, decision: discard
    scores: {'relevance_production': 0.0, 'relevance_query': 2.0, 'recency': 0.0, 'popularity': 5.0, 'feedback': 0.0, 'realism': 0.0, 'expressiveness': 0.0, 'tool_boundary': 0.0, 'tool_comparison': 0.0, 'tool_specificity': 0.0, 'tool_example': 0.0, 'tool_limits': 0.0}
    knowledge_type: ['tool']
    procedure_html: None
  Result 18: Σ╕ÇΣ╗╜ OpenAI CodeX Σ╕èµëïΣ╜┐τö¿τÜäσ«îµò┤µö╗τòÑ (gzh)
    overall: 2.6, anomaly: False, decision: discard
    scores: {'relevance_production': 0.0, 'relevance_query': 2.0, 'recency': 1.0, 'popularity': 2.0, 'feedback': 0.0, 'realism': 0.0, 'expressiveness': 0.0, 'tool_boundary': 6.0, 'tool_comparison': 0.0, 'tool_specificity': 8.0, 'tool_example': 7.0, 'tool_limits': 5.0}
    knowledge_type: ['tool']
    procedure_html: None
  Result 19: σ╣▓Φ┤ºµòÖτ¿ï∩╜£σì│µóªAIτ╗ÿτö╗µÅÉτñ║Φ»ìµÇÄΣ╣êσåÖ∩╝ƒ3σêåΘÆƒσ╕«Σ╜áµÉ₧σ«Ü∩╝ü (gzh)
    overall: 7.4, anomaly: False, decision: report
    scores: {'relevance_production': 8.0, 'relevance_query': 9.0, 'recency': 10.0, 'popularity': 3.0, 'feedback': 0.0, 'realism': 8.0, 'expressiveness': 8.0, 'step_input': 9.0, 'step_implementation': 9.0, 'step_output': 8.0, 'step_generality': 9.0}
    knowledge_type: ['step']
    procedure_html: None
  Result 20: µëïµèèµëïµòÖΣ╜áσåÖσç║σÑ╜µÅÉτñ║Φ»ì (zhihu)
    overall: 1.6, anomaly: False, decision: discard
    scores: {'relevance_production': 1.0, 'relevance_query': 2.0, 'recency': 10.0, 'popularity': 0.0, 'feedback': 0.0, 'realism': 0.0, 'expressiveness': 0.0, 'step_input': 2.0, 'step_implementation': 2.0, 'step_output': 0.0, 'step_generality': 1.0}
    knowledge_type: ['step']
    procedure_html: None
  Result 21: σêåΣ║½Σ╕Çτ╗äσåÖµòÖτ¿ïτÜäRules (zhihu)
    overall: 0.9, anomaly: False, decision: discard
    scores: {'relevance_production': 0.0, 'relevance_query': 1.0, 'recency': 10.0, 'popularity': 0.0, 'feedback': 0.0, 'realism': 0.0, 'expressiveness': 0.0, 'tool_boundary': 0.0, 'tool_comparison': 0.0, 'tool_specificity': 0.0, 'tool_example': 0.0, 'tool_limits': 0.0}
    knowledge_type: ['tool']
    procedure_html: None
  Result 22: Σ╕Çτ»çσ¡ªΣ╝Ü|ChatGPTΦ╢àσ╝║µÅÉτñ║Φ»ìµîçσìù (zhihu)
    overall: 3.8, anomaly: False, decision: discard
    scores: {'relevance_production': 3.0, 'relevance_query': 4.0, 'recency': 0.0, 'popularity': 6.0, 'feedback': 5.0, 'realism': 2.0, 'expressiveness': 2.0, 'step_input': 6.0, 'step_implementation': 5.0, 'step_output': 4.0, 'step_generality': 5.0}
    knowledge_type: ['step']
    procedure_html: None
  Result 23: Vibecoding µÅÉτñ║Φ»ìµîçσìù∩╝ÜσªéΣ╜òτö¿Σ╕ÇσÅÑΦ»¥Φ«⌐ AI σåÖσç║Σ╜áΦªüτÜäΣ╗úτáü (zhihu)
    overall: 1.6, anomaly: False, decision: discard
    scores: {'relevance_production': 1.0, 'relevance_query': 2.0, 'recency': 10.0, 'popularity': 0.0, 'feedback': 0.0, 'realism': 0.0, 'expressiveness': 0.0, 'step_input': 2.0, 'step_implementation': 2.0, 'step_output': 0.0, 'step_generality': 1.0}
    knowledge_type: ['step']
    procedure_html: None
  Result 24: AIµûçτöƒσ¢╛µÅÅΦ┐░Φ»ìµÇÄΣ╣êσåÖµëìΦâ╜σç║σñºτëç∩╝ƒΣ╕çΦâ╜µÅÅΦ┐░Φ»ìσà¼σ╝ÅσêåΣ║½ (zhihu)
    overall: 8.0, anomaly: False, decision: report
    scores: {'relevance_production': 9.0, 'relevance_query': 10.0, 'recency': 8.0, 'popularity': 5.0, 'feedback': 5.0, 'realism': 8.0, 'expressiveness': 8.0, 'step_input': 9.0, 'step_implementation': 9.0, 'step_output': 8.0, 'step_generality': 9.0}
    knowledge_type: ['step']
    procedure_html: None
  Result 25: MidjourneyµÅÉτñ║Φ»ìσ«îσà¿µîçσìù∩╝Ü10σêåΘÆƒτö╗σç║Σ╕ôΣ╕Üτ║ºAIσ¢╛σâÅ (zhihu)
    overall: 5.7, anomaly: False, decision: discard
    scores: {'relevance_production': 9.0, 'relevance_query': 10.0, 'recency': 10.0, 'popularity': 1.0, 'feedback': 0.0, 'realism': 0.0, 'expressiveness': 0.0, 'step_input': 9.0, 'step_implementation': 8.0, 'step_output': 7.0, 'step_generality': 8.0, 'tool_boundary': 7.0, 'tool_comparison': 2.0, 'tool_specificity': 9.0, 'tool_example': 5.0, 'tool_limits': 6.0}
    knowledge_type: ['tool', 'step']
    procedure_html: None
  Result 26: σªéΣ╜òΣ╕ïΦ╜╜VMwareΦÖÜµïƒµ£║Φ╜»Σ╗╢σ╣╢σê¢σ╗║πÇüΣ╜┐τö¿ΦÖÜµïƒµ£║∩╝ƒ (zhihu)
    overall: 3.3, anomaly: False, decision: discard
    scores: {'relevance_production': 0.0, 'relevance_query': 2.0, 'recency': 6.0, 'popularity': 1.0, 'feedback': 0.0, 'realism': 0.0, 'expressiveness': 0.0, 'tool_boundary': 8.0, 'tool_comparison': 2.0, 'tool_specificity': 7.0, 'tool_example': 8.0, 'tool_limits': 6.0}
    knowledge_type: ['tool']
    procedure_html: None
  Result 27: σñºµ¿íσ₧ï-AIτöƒµêÉΦºåΘóæΘ¢╢σƒ║τíÇσÉ»ΦÆÖ∩╝ÜΣ╗Ä0σê░1σê╢Σ╜£AIΦºåΘóæ (zhihu)
    overall: 8.0, anomaly: False, decision: report
    scores: {'relevance_production': 10.0, 'relevance_query': 10.0, 'recency': 1.0, 'popularity': 6.0, 'feedback': 5.0, 'realism': 8.0, 'expressiveness': 9.0, 'procedure_completeness': 9.0, 'procedure_input': 9.0, 'procedure_implementation': 9.0, 'procedure_output': 8.0, 'procedure_generality': 9.0, 'step_input': 9.0, 'step_implementation': 9.0, 'step_output': 8.0, 'step_generality': 9.0, 'tool_boundary': 8.0, 'tool_comparison': 7.0, 'tool_specificity': 8.0, 'tool_example': 9.0, 'tool_limits': 7.0}
    knowledge_type: ['procedure', 'step', 'tool']
    procedure_html: None
  Result 28: iOSπÇüAndroidπÇüPC µ£ÇΦ┐æσÇ╝σ╛ùΣ╕ïΦ╜╜τÜä 10 Σ╕¬ App (zhihu)
    overall: 4.7, anomaly: False, decision: discard
    scores: {'relevance_production': 6.0, 'relevance_query': 7.0, 'recency': 0.0, 'popularity': 2.0, 'feedback': 0.0, 'realism': 7.0, 'expressiveness': 6.0, 'tool_boundary': 8.0, 'tool_comparison': 0.0, 'tool_specificity': 5.0, 'tool_example': 7.0, 'tool_limits': 8.0}
    knowledge_type: ['tool']
    procedure_html: None
  Result 29: Σ╗Ä AI Θù«τ¡öσê░σÉäτºìσè₧σà¼µÅÆΣ╗╢∩╝îΣ╜áµÿ»σÉªσ╖▓τ╗Åσ»╣σñºµ¿íσ₧ïσ║öτö¿σ╜óµêÉΣ║åΣ╛¥Φ╡û∩╝ƒΣ╜áτöƒµ┤╗Σ╕¡µ£ëσô¬Σ║¢πÇîτª╗Σ╕ìσ╝Ç AIπÇìτÜäσ£║µÖ»∩╝ƒ (zhihu)
    overall: 0.7, anomaly: False, decision: discard
    scores: {'relevance_production': 0.0, 'relevance_query': 1.0, 'recency': 0.0, 'popularity': 2.0, 'feedback': 0.0, 'realism': 0.0, 'expressiveness': 0.0, 'tool_boundary': 5.0, 'tool_comparison': 0.0, 'tool_specificity': 0.0, 'tool_example': 0.0, 'tool_limits': 0.0}
    knowledge_type: ['tool']
    procedure_html: None

Form B: σªéΣ╜òΦ╛ôσàÑµÅÅΦ┐░Φ»ìµ¥ÑτöƒµêÉσåàσ«╣
Total: 30, Report: 15, Discard: 15
  Result 0: AIµûçτöƒσ¢╛τÜä3τºìσ«₧µôìτö¿µ│ò∩╝îΣ╜áΣ╕Çσ«Üτö¿σ╛ùΣ╕è∩╝ü (xhs)
    overall: 2.2, anomaly: False, decision: discard
    scores: {'relevance_production': 6.0, 'relevance_query': 5.0, 'recency': 1.0, 'popularity': 4.0, 'feedback': 0.0, 'realism': 0.0, 'expressiveness': 0.0, 'procedure_completeness': 3.0, 'procedure_input': 2.0, 'procedure_implementation': 2.0, 'procedure_output': 0.0, 'procedure_generality': 3.0}
    knowledge_type: ['procedure']
    procedure_html: None
  Result 1: σÅ¬Θ£Ç5µ¡Ñ∩╝üAIµò░σ¡ùΣ║║σÅúµÆ¡ΦºåΘóæΣ┐¥σºåτ║ºµòÖτ¿ï (xhs)
    overall: 7.8, anomaly: False, decision: report
    scores: {'relevance_production': 10.0, 'relevance_query': 10.0, 'recency': 0.0, 'popularity': 8.0, 'feedback': 8.0, 'realism': 7.0, 'expressiveness': 6.0, 'procedure_completeness': 10.0, 'procedure_input': 9.0, 'procedure_implementation': 9.0, 'procedure_output': 8.0, 'procedure_generality': 8.0}
    knowledge_type: ['procedure']
    procedure_html: None
  Result 2: τ¢┤µÄÑτö¿deepseekτöƒµêÉσ¢╛τëçµû╣µ│òσÅèµÅÉτñ║Φ»ìµîçΣ╗ñ (xhs)
    overall: 7.7, anomaly: False, decision: report
    scores: {'relevance_production': 9.0, 'relevance_query': 10.0, 'recency': 0.0, 'popularity': 7.0, 'feedback': 8.0, 'realism': 8.0, 'expressiveness': 8.0, 'procedure_completeness': 9.0, 'procedure_input': 9.0, 'procedure_implementation': 9.0, 'procedure_output': 8.0, 'procedure_generality': 8.0, 'tool_boundary': 7.0, 'tool_comparison': 6.0, 'tool_specificity': 9.0, 'tool_example': 9.0, 'tool_limits': 7.0}
    knowledge_type: ['procedure', 'tool']
    procedure_html: None
  Result 3: µêæµ¥ÑµòÖΣ╜áσüÜµûçσ¡ùσ¢╛ (xhs)
    overall: 1.7, anomaly: False, decision: discard
    scores: {'relevance_production': 2.0, 'relevance_query': 1.0, 'recency': 0.0, 'popularity': 8.0, 'feedback': 5.0, 'realism': 0.0, 'expressiveness': 0.0, 'tool_boundary': 2.0, 'tool_comparison': 0.0, 'tool_specificity': 1.0, 'tool_example': 1.0, 'tool_limits': 0.0}
    knowledge_type: ['tool']
    procedure_html: None
  Result 4: Nano banana AIτ⌐┐µÉ¡µïåΦºú≡ƒìîσÉ½µÅÉτñ║Φ»ì (xhs)
    overall: 8.8, anomaly: False, decision: report
    scores: {'relevance_production': 10.0, 'relevance_query': 9.0, 'recency': 6.0, 'popularity': 8.0, 'feedback': 9.0, 'realism': 9.0, 'expressiveness': 10.0, 'procedure_completeness': 9.0, 'procedure_input': 9.0, 'procedure_implementation': 9.0, 'procedure_output': 9.0, 'procedure_generality': 8.0, 'step_input': 9.0, 'step_implementation': 9.0, 'step_output': 8.0, 'step_generality': 9.0}
    knowledge_type: ['procedure', 'step']
    procedure_html: None
  Result 5: AIµûçτöƒσ¢╛Σ╕çΦâ╜µ¿íτëêµÅ¡τºÿΓ£¿| (xhs)
    overall: 6.0, anomaly: False, decision: report
    scores: {'relevance_production': 9.0, 'relevance_query': 10.0, 'recency': 6.0, 'popularity': 3.0, 'feedback': 5.0, 'realism': 0.0, 'expressiveness': 0.0, 'step_input': 9.0, 'step_implementation': 8.0, 'step_output': 7.0, 'step_generality': 9.0}
    knowledge_type: ['step']
    procedure_html: None
  Result 6: Σ╜┐τö¿#DeepseekτöƒµêÉ#µÅÉτñ║Φ»ì (xhs)
    overall: 0.5, anomaly: False, decision: discard
    scores: {'relevance_production': 2.0, 'relevance_query': 1.0, 'recency': 0.0, 'popularity': 2.0, 'feedback': 0.0, 'realism': 0.0, 'expressiveness': 0.0, 'tool_boundary': 1.0, 'tool_comparison': 0.0, 'tool_specificity': 0.0, 'tool_example': 0.0, 'tool_limits': 0.0}
    knowledge_type: ['tool']
    procedure_html: None
  Result 7: AIΣ╕ÇΘö«σÅìµÄ¿µÅÉτñ║Φ»ì∩╝üΦ╜╗µ¥╛σñìσê╗σÉîµ¼╛∩╝ü (xhs)
    overall: 2.2, anomaly: False, decision: discard
    scores: {'relevance_production': 2.0, 'relevance_query': 1.0, 'recency': 0.0, 'popularity': 6.0, 'feedback': 0.0, 'realism': 8.0, 'expressiveness': 7.0, 'tool_boundary': 2.0, 'tool_comparison': 0.0, 'tool_specificity': 0.0, 'tool_example': 0.0, 'tool_limits': 0.0}
    knowledge_type: ['tool']
    procedure_html: None
  Result 8: Φâ╜Φ«⌐AIσåÖσç║ΘÇéσÉêΣ╜áτÜäσåàσ«╣ (xhs)
    overall: 1.7, anomaly: False, decision: discard
    scores: {'relevance_production': 0.0, 'relevance_query': 1.0, 'recency': 3.0, 'popularity': 8.0, 'feedback': 0.0, 'realism': 0.0, 'expressiveness': 0.0}
    knowledge_type: []
    procedure_html: None
  Result 9: AI σ¢╛τëçτöƒµêÉµÅÉτñ║Φ»ìΦîâΣ╛ï (xhs)
    overall: 4.1, anomaly: False, decision: discard
    scores: {'relevance_production': 6.0, 'relevance_query': 8.0, 'recency': 0.0, 'popularity': 9.0, 'feedback': 5.0, 'realism': 0.0, 'expressiveness': 0.0, 'step_input': 8.0, 'step_implementation': 4.0, 'step_output': 0.0, 'step_generality': 5.0}
    knowledge_type: ['step']
    procedure_html: None
  Result 10: Φ║║σüÜΦç¬σ¬ÆΣ╜ôΓÇöΓÇöτö¿µÖ║Φâ╜Σ╜ôτ¢┤µÄÑτöƒµêÉσ¢╛µûçσåàσ«╣ (gzh)
    overall: 3.4, anomaly: False, decision: discard
    scores: {'relevance_production': 4.0, 'relevance_query': 6.0, 'recency': 6.0, 'popularity': 2.0, 'feedback': 0.0, 'realism': 5.0, 'expressiveness': 4.0, 'tool_boundary': 6.0, 'tool_comparison': 0.0, 'tool_specificity': 3.0, 'tool_example': 5.0, 'tool_limits': 0.0}
    knowledge_type: ['tool']
    procedure_html: None
  Result 11: σ╛«Σ┐íΘçîµ£ëΣ╕ÇΣ╕¬τ╗ÿσ¢╛τÑ₧σÖ¿∩╝îΣ╜áτƒÑΘüôσÉù∩╝ƒΦªüµÿ»Σ╕ìΣ╝Üτö¿σ░▒σñ¬µ╡¬Φ┤╣Σ║å (gzh)
    overall: 4.2, anomaly: False, decision: discard
    scores: {'relevance_production': 6.0, 'relevance_query': 8.0, 'recency': 6.0, 'popularity': 3.0, 'feedback': 0.0, 'realism': 4.0, 'expressiveness': 0.0, 'procedure_completeness': 7.0, 'procedure_input': 8.0, 'procedure_implementation': 6.0, 'procedure_output': 5.0, 'procedure_generality': 3.0, 'tool_boundary': 4.0, 'tool_comparison': 0.0, 'tool_specificity': 5.0, 'tool_example': 4.0, 'tool_limits': 2.0}
    knowledge_type: ['procedure', 'tool']
    procedure_html: None
  Result 12: Σ╗ÄΣ╕ÇσÅÑΦ»¥σê░µêÉτëç∩╝îΦ┐ÖΣ╕¬σ╖Ñσà╖µèèµêæτ£ïµäúΣ║å∩╝ü (gzh)
    overall: 6.5, anomaly: False, decision: report
    scores: {'relevance_production': 8.0, 'relevance_query': 7.0, 'recency': 10.0, 'popularity': 4.0, 'feedback': 0.0, 'realism': 6.0, 'expressiveness': 7.0, 'procedure_completeness': 9.0, 'procedure_input': 8.0, 'procedure_implementation': 7.0, 'procedure_output': 8.0, 'procedure_generality': 6.0, 'tool_boundary': 8.0, 'tool_comparison': 5.0, 'tool_specificity': 4.0, 'tool_example': 7.0, 'tool_limits': 6.0}
    knowledge_type: ['procedure', 'tool']
    procedure_html: None
  Result 13: µÅÉτñ║Φ»ìτöƒµêÉ∩╝îµö»µîüτ╗ÿτö╗+Θù«τ¡ö~ (gzh)
    overall: 2.7, anomaly: False, decision: discard
    scores: {'relevance_production': 4.0, 'relevance_query': 6.0, 'recency': 6.0, 'popularity': 2.0, 'feedback': 0.0, 'realism': 0.0, 'expressiveness': 0.0, 'tool_boundary': 5.0, 'tool_comparison': 0.0, 'tool_specificity': 4.0, 'tool_example': 3.0, 'tool_limits': 2.0}
    knowledge_type: ['tool']
    procedure_html: None
  Result 14: Φ▒åσîàΣ╜┐τö¿µòÖτ¿ï | 3. AIσê¢Σ╜£ (gzh)
    overall: 6.5, anomaly: False, decision: report
    scores: {'relevance_production': 9.0, 'relevance_query': 10.0, 'recency': 3.0, 'popularity': 2.0, 'feedback': 0.0, 'realism': 7.0, 'expressiveness': 7.0, 'procedure_completeness': 9.0, 'procedure_input': 9.0, 'procedure_implementation': 9.0, 'procedure_output': 8.0, 'procedure_generality': 8.0, 'tool_boundary': 8.0, 'tool_comparison': 0.0, 'tool_specificity': 7.0, 'tool_example': 9.0, 'tool_limits': 5.0}
    knowledge_type: ['procedure', 'tool']
    procedure_html: None
  Result 15: µòÖτ¿ï∩╜£Σ╗àΘ£ÇΣ╕ÇσÅÑΦ»¥∩╝îσì│σÅ»τöƒµêÉσ«îµò┤ΦºåΘóæ∩╝üµùáΘ£ÇΣ║îµ¼íσë¬Φ╛æ∩╝êσÉ½µÅÉτñ║Φ»ì∩╝ë (gzh)
    overall: 7.4, anomaly: False, decision: report
    scores: {'relevance_production': 9.0, 'relevance_query': 10.0, 'recency': 1.0, 'popularity': 6.0, 'feedback': 7.0, 'realism': 7.0, 'expressiveness': 8.0, 'procedure_completeness': 9.0, 'procedure_input': 9.0, 'procedure_implementation': 8.0, 'procedure_output': 8.0, 'procedure_generality': 8.0, 'tool_boundary': 8.0, 'tool_comparison': 5.0, 'tool_specificity': 7.0, 'tool_example': 9.0, 'tool_limits': 6.0}
    knowledge_type: ['procedure', 'tool']
    procedure_html: None
  Result 16: Cozeσ«₧µêÿ∩╝ÜΦ╛ôσàÑσà│Θö«Φ»ìΦç¬σè¿τöƒµêÉσ░Åτ║óΣ╣ªτé╣Φ╡₧1w+τêåµ¼╛σà╗τöƒσ¢╛µûç (gzh)
    overall: 6.5, anomaly: False, decision: report
    scores: {'relevance_production': 8.0, 'relevance_query': 9.0, 'recency': 1.0, 'popularity': 4.0, 'feedback': 5.0, 'realism': 6.0, 'expressiveness': 7.0, 'procedure_completeness': 9.0, 'procedure_input': 8.0, 'procedure_implementation': 8.0, 'procedure_output': 7.0, 'procedure_generality': 7.0, 'tool_boundary': 7.0, 'tool_comparison': 2.0, 'tool_specificity': 8.0, 'tool_example': 9.0, 'tool_limits': 5.0}
    knowledge_type: ['procedure', 'tool']
    procedure_html: None
  Result 17: µûçτöƒΦºåΘóæµö╗τòÑ (gzh)
    overall: 5.0, anomaly: False, decision: discard
    scores: {'relevance_production': 8.0, 'relevance_query': 9.0, 'recency': 0.0, 'popularity': 2.0, 'feedback': 0.0, 'realism': 0.0, 'expressiveness': 0.0, 'procedure_completeness': 7.0, 'procedure_input': 8.0, 'procedure_implementation': 6.0, 'procedure_output': 5.0, 'procedure_generality': 7.0, 'step_input': 8.0, 'step_implementation': 7.0, 'step_output': 5.0, 'step_generality': 8.0}
    knowledge_type: ['procedure', 'step']
    procedure_html: None
  Result 18: Φ┐£σ╜▒Σ┐¥σºåτ║ºµòÖτ¿ï∩╝î5σêåΘÆƒσ┐½ΘÇƒΣ╕èµëïµûçτöƒσ¢╛ (gzh)
    overall: 7.2, anomaly: False, decision: report
    scores: {'relevance_production': 9.0, 'relevance_query': 10.0, 'recency': 6.0, 'popularity': 2.0, 'feedback': 0.0, 'realism': 7.0, 'expressiveness': 8.0, 'procedure_completeness': 9.0, 'procedure_input': 9.0, 'procedure_implementation': 8.0, 'procedure_output': 8.0, 'procedure_generality': 7.0, 'step_input': 9.0, 'step_implementation': 8.0, 'step_output': 7.0, 'step_generality': 8.0}
    knowledge_type: ['procedure', 'step']
    procedure_html: None
  Result 19: µ£Çµû░µëúσ¡É(Coze)σ╖ÑΣ╜£µ╡üµíêΣ╛ïµòÖτ¿ï∩╝ÜΣ╕ÇΘö«τöƒµêÉτêåµ¼╛σ¢╛µûçτ¼öΦ«░∩╝îσÅ¬Θ£ÇΦªüΦ╛ôσàÑµÅÉτñ║Φ»ìσì│σÅ»σ«îµêÉ∩╝îµëïµèèµëïµòÖσ¡ª∩╝îσ«îσà¿σàìΦ┤╣µòÖτ¿ï (gzh)
    overall: 6.3, anomaly: False, decision: report
    scores: {'relevance_production': 9.0, 'relevance_query': 8.0, 'recency': 0.0, 'popularity': 4.0, 'feedback': 0.0, 'realism': 7.0, 'expressiveness': 7.0, 'procedure_completeness': 9.0, 'procedure_input': 9.0, 'procedure_implementation': 8.0, 'procedure_output': 8.0, 'procedure_generality': 8.0, 'tool_boundary': 7.0, 'tool_comparison': 0.0, 'tool_specificity': 8.0, 'tool_example': 9.0, 'tool_limits': 6.0}
    knowledge_type: ['procedure', 'tool']
    procedure_html: None
  Result 20: Vibecoding µÅÉτñ║Φ»ìµîçσìù∩╝ÜσªéΣ╜òτö¿Σ╕ÇσÅÑΦ»¥Φ«⌐ AI σåÖσç║Σ╜áΦªüτÜäΣ╗úτáü (zhihu)
    overall: 1.2, anomaly: False, decision: discard
    scores: {'relevance_production': 1.0, 'relevance_query': 2.0, 'recency': 10.0, 'popularity': 0.0, 'feedback': 0.0, 'realism': 0.0, 'expressiveness': 0.0, 'step_input': 0.0, 'step_implementation': 0.0, 'step_output': 0.0, 'step_generality': 0.0}
    knowledge_type: ['step']
    procedure_html: None
  Result 21: σªéΣ╜òτö¿Σ╕Çσ╝áτàºτëçπÇüΣ╕ëΣ╕¬σà│Θö«Φ»ì∩╝îσ«îµêÉΣ╕Çµ¼íµ£ëΦ╢úτÜäσê¢Σ╜£∩╝ƒ (zhihu)
    overall: 4.0, anomaly: False, decision: discard
    scores: {'relevance_production': 3.0, 'relevance_query': 4.0, 'recency': 10.0, 'popularity': 1.0, 'feedback': 0.0, 'realism': 0.0, 'expressiveness': 0.0, 'procedure_completeness': 5.0, 'procedure_input': 6.0, 'procedure_implementation': 5.0, 'procedure_output': 4.0, 'procedure_generality': 5.0, 'tool_boundary': 6.0, 'tool_comparison': 7.0, 'tool_specificity': 3.0, 'tool_example': 4.0, 'tool_limits': 5.0}
    knowledge_type: ['procedure', 'tool']
    procedure_html: None
  Result 22: σªéΣ╜òσåÖσç║aiτÜäµÅÉτñ║Φ»ì∩╝îσ╛ùσç║Φç¬σ╖▒µâ│ΦªüτÜäσ¢₧τ¡ö∩╝ƒ (zhihu)
    overall: 5.1, anomaly: False, decision: discard
    scores: {'relevance_production': 6.0, 'relevance_query': 7.0, 'recency': 8.0, 'popularity': 4.0, 'feedback': 5.0, 'realism': 6.0, 'expressiveness': 5.0, 'procedure_completeness': 5.0, 'procedure_input': 4.0, 'procedure_implementation': 4.0, 'procedure_output': 3.0, 'procedure_generality': 4.0}
    knowledge_type: ['procedure']
    procedure_html: None
  Result 23: σê½σåìµö╢ΦùÅµÅÉτñ║Φ»ìΣ║åπÇéτö¿Σ╕ÇΣ╕¬ΓÇ£Φ╢àτ║ºµÅÉτñ║Φ»ìΓÇ¥Φ«⌐ AI σ╕«Σ╜áσåÖµÅÉτñ║Φ»ì (zhihu)
    overall: 8.4, anomaly: False, decision: report
    scores: {'relevance_production': 9.0, 'relevance_query': 10.0, 'recency': 10.0, 'popularity': 4.0, 'feedback': 5.0, 'realism': 8.0, 'expressiveness': 8.0, 'step_input': 10.0, 'step_implementation': 9.0, 'step_output': 9.0, 'step_generality': 10.0}
    knowledge_type: ['step']
    procedure_html: None
  Result 24: σì│µóªAIσ┐àΦ«░τÜäτÑ₧τ║ºµîçΣ╗ñ∩╝îΣ┐¥σºåτ║ºµÅÉτñ║Φ»ìσ«îµò┤σàÑΘù¿µòÖτ¿ï (zhihu)
    overall: 1.8, anomaly: False, decision: discard
    scores: {'relevance_production': 4.0, 'relevance_query': 3.0, 'recency': 8.0, 'popularity': 1.0, 'feedback': 0.0, 'realism': 0.0, 'expressiveness': 0.0, 'procedure_completeness': 2.0, 'procedure_input': 2.0, 'procedure_implementation': 2.0, 'procedure_output': 1.0, 'procedure_generality': 2.0, 'tool_boundary': 3.0, 'tool_comparison': 0.0, 'tool_specificity': 1.0, 'tool_example': 1.0, 'tool_limits': 0.0}
    knowledge_type: ['procedure', 'tool']
    procedure_html: None
  Result 25: AIτöƒσ¢╛µ£ëµ▓íµ£ëΣ╗ÇΣ╣êσåÖµÅÉτñ║Φ»ìτÜäµèÇσ╖º∩╝ƒ (zhihu)
    overall: 9.3, anomaly: False, decision: report
    scores: {'relevance_production': 10.0, 'relevance_query': 10.0, 'recency': 10.0, 'popularity': 7.0, 'feedback': 8.0, 'realism': 9.0, 'expressiveness': 9.0, 'step_input': 10.0, 'step_implementation': 10.0, 'step_output': 9.0, 'step_generality': 10.0}
    knowledge_type: ['step']
    procedure_html: None
  Result 26: µû░µëïσåÖAIµÅÉτñ║Φ»ìτÜäµá╕σ┐âµèÇσ╖º∩╝îσæèσê½µùáµòêΦ╛ôσç║∩╝îµï┐µ¥Ñσ░▒Φâ╜τö¿∩╝ƒ (zhihu)
    overall: 7.8, anomaly: False, decision: report
    scores: {'relevance_production': 9.0, 'relevance_query': 10.0, 'recency': 10.0, 'popularity': 2.0, 'feedback': 0.0, 'realism': 8.0, 'expressiveness': 8.0, 'procedure_completeness': 9.0, 'procedure_input': 9.0, 'procedure_implementation': 9.0, 'procedure_output': 8.0, 'procedure_generality': 8.0, 'step_input': 9.0, 'step_implementation': 9.0, 'step_output': 8.0, 'step_generality': 9.0}
    knowledge_type: ['procedure', 'step']
    procedure_html: None
  Result 27: µÅÉτñ║Φ»ìτöƒµêÉσÄƒσ₧ïσê½σñ¬ΘªÖ∩╝üµòÖτ¿ïΣ╕Çµ¡ÑΣ╕ìΦÉ╜µòÖτ╗ÖΣ╜á (zhihu)
    overall: 6.4, anomaly: False, decision: report
    scores: {'relevance_production': 8.0, 'relevance_query': 9.0, 'recency': 1.0, 'popularity': 2.0, 'feedback': 0.0, 'realism': 9.0, 'expressiveness': 9.0, 'procedure_completeness': 8.0, 'procedure_input': 8.0, 'procedure_implementation': 7.0, 'procedure_output': 8.0, 'procedure_generality': 8.0}
    knowledge_type: ['procedure']
    procedure_html: None
  Result 28: AIσåÖΣ╜£Σ╣ïµÅÉτñ║Φ»ìµèÇσ╖º (zhihu)
    overall: 1.2, anomaly: False, decision: discard
    scores: {'relevance_production': 0.0, 'relevance_query': 2.0, 'recency': 10.0, 'popularity': 1.0, 'feedback': 0.0, 'realism': 0.0, 'expressiveness': 0.0, 'step_input': 0.0, 'step_implementation': 0.0, 'step_output': 0.0, 'step_generality': 0.0}
    knowledge_type: ['step']
    procedure_html: None
  Result 29: Σ╕ÇΣ╕¬µÅÉτñ║Φ»ì∩╝îτöƒµêÉτêåµ¼╛σ░üΘ¥óπÇüµ░┤σó¿PPTΓÇöΓÇöGPT Image Prompt σ«îσà¿µòÖτ¿ï (zhihu)
    overall: 8.4, anomaly: False, decision: report
    scores: {'relevance_production': 10.0, 'relevance_query': 10.0, 'recency': 10.0, 'popularity': 5.0, 'feedback': 5.0, 'realism': 8.0, 'expressiveness': 9.0, 'procedure_completeness': 9.0, 'procedure_input': 9.0, 'procedure_implementation': 9.0, 'procedure_output': 8.0, 'procedure_generality': 9.0, 'step_input': 9.0, 'step_implementation': 9.0, 'step_output': 8.0, 'step_generality': 8.0}
    knowledge_type: ['procedure', 'step']
    procedure_html: None
