{"id":"W2133343243","doi":"10.14778/1920841.1921042","title":"QUICK","year":2010,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Numbering; Computer science; Schema (genetic algorithms); Information retrieval; Semantic Web; World Wide Web; Linked data; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00128206,0.0009758529,0.0007887866,0.003383865,0.00196154,0.006667144,0.002735685,0.002383601,0.8492091],"category_scores_gemma":[0.008039958,0.0005696106,0.0008522447,0.003866922,0.0007281125,0.006710754,0.004163003,0.001918452,0.6630483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001308431,"about_ca_system_score_gemma":0.002269036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003143039,"about_ca_topic_score_gemma":0.00532273,"domain_scores_codex":[0.9988827,0.0001397317,0.00006617742,0.0002484686,0.0005460961,0.0001168318],"domain_scores_gemma":[0.995849,0.0007962412,0.0001685237,0.0008755121,0.001758987,0.0005516759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000823902,0.0000430466,0.0003633043,0.0003380879,0.000009502495,0.0001028115,0.0001176746,0.0001400186,0.0004705667,0.01170539,0.8329434,0.1536837],"study_design_scores_gemma":[0.00001020335,0.0000102953,0.0002417601,0.00005962596,0.000003669078,0.00007514905,0.00007043595,0.00009788152,0.0002105717,0.002676697,0.9965361,0.000007620035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001590562,0.002301557,0.01807471,0.007538096,0.008480662,0.0005812426,0.03007934,0.0147056,0.9166482],"genre_scores_gemma":[0.01015281,0.002638917,0.01294944,0.004845202,0.001424241,0.0002670771,0.03040227,0.004760541,0.9325595],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1507909,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008614527310647397,"score_gpt":0.2160867094041712,"score_spread":0.2074721820935237,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}