{"id":"W4250704561","doi":"10.1503/cmaj.1031851","title":"Query","year":2004,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Art, Technology, and Culture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Information retrieval; World Wide Web; Data science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00100954,0.001195848,0.001317731,0.003499154,0.001462466,0.004935198,0.001750276,0.003361677,0.6221355],"category_scores_gemma":[0.0173114,0.0004296618,0.001063396,0.002718013,0.000514921,0.005263598,0.002732199,0.001152179,0.4721859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002040091,"about_ca_system_score_gemma":0.002471561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01613993,"about_ca_topic_score_gemma":0.01430543,"domain_scores_codex":[0.9985173,0.0002233915,0.0001609824,0.0003137083,0.0005714854,0.0002131245],"domain_scores_gemma":[0.9957548,0.001209521,0.0001762564,0.0005609363,0.001919082,0.0003793561],"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":[0.00008647983,0.00001807928,0.0004665831,0.0003250501,0.000007451057,0.00008115053,0.00004299708,0.00006758386,0.000229016,0.001797642,0.9830526,0.0138254],"study_design_scores_gemma":[0.00007728297,0.00002360392,0.0009967561,0.0001999262,0.00001263085,0.0002378575,0.0002089701,0.0003946161,0.0004639369,0.003774321,0.9935841,0.00002609802],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002216765,0.002600748,0.006783094,0.02185565,0.002484972,0.001159123,0.67634,0.016038,0.2705216],"genre_scores_gemma":[0.02596669,0.003721408,0.009263742,0.01538241,0.002094954,0.0009777008,0.7211567,0.00548953,0.215947],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3778645,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009324703154467068,"score_gpt":0.2003668561315383,"score_spread":0.1910421529770712,"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."}}