{"id":"W4231037483","doi":"10.1503/cmaj.050280","title":"Query","year":2006,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","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":[0.001028008,0.001216683,0.001451284,0.004080663,0.001543117,0.004717046,0.00172499,0.003805663,0.7412612],"category_scores_gemma":[0.01992166,0.0004445034,0.001162404,0.00329333,0.0004960931,0.004577604,0.002997636,0.001256294,0.5935785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002635795,"about_ca_system_score_gemma":0.002492799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02358688,"about_ca_topic_score_gemma":0.0246665,"domain_scores_codex":[0.9987695,0.0001946501,0.000159248,0.0002016604,0.0005014678,0.0001734175],"domain_scores_gemma":[0.9943711,0.00136429,0.0002775532,0.0005545613,0.002819572,0.0006130142],"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":[0.00004220379,0.000008534939,0.0002099465,0.0002516577,0.000003804044,0.00003615363,0.00002348133,0.00002118761,0.00006518393,0.0004793458,0.9886914,0.01016721],"study_design_scores_gemma":[0.00006945106,0.00001569369,0.0009036771,0.0002778739,0.000006862684,0.0001128034,0.0001018531,0.0001008845,0.0001190547,0.001508956,0.9967629,0.00002008214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001073266,0.002902555,0.002193538,0.02415466,0.002778256,0.001263191,0.6061555,0.009175081,0.350304],"genre_scores_gemma":[0.01455015,0.005563935,0.005475614,0.02925635,0.003422196,0.001848329,0.5593343,0.005554934,0.3749943],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2587388,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172815799019358,"score_gpt":0.1717249566972861,"score_spread":0.1599967987070925,"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."}}