{"id":"W4244869827","doi":"10.1503/cmaj.060988","title":"Query","year":2007,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","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":[],"consensus_categories":[],"category_scores_codex":[0.001627404,0.001631706,0.001466425,0.003788946,0.001582726,0.006020525,0.002608492,0.003504771,0.4372077],"category_scores_gemma":[0.02334318,0.000525645,0.001265162,0.003200688,0.0007276731,0.009178629,0.003894791,0.001613278,0.3586347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002311222,"about_ca_system_score_gemma":0.002372143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01580127,"about_ca_topic_score_gemma":0.01180922,"domain_scores_codex":[0.9973624,0.0004093446,0.0003056352,0.0006390744,0.0009648461,0.0003185887],"domain_scores_gemma":[0.994691,0.001564493,0.0002060963,0.0009533562,0.002270492,0.0003146188],"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":[0.0001377654,0.00002228336,0.0006107011,0.0004010604,0.00001557673,0.0001291835,0.0001045344,0.0002045991,0.0004419906,0.005764428,0.9655313,0.0266365],"study_design_scores_gemma":[0.0000593696,0.00002311591,0.0006611099,0.0001972499,0.00001534277,0.0003134132,0.0002726661,0.001223034,0.0007600592,0.01067765,0.9857548,0.00004214088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"commentary","genre_scores_codex":[0.003368043,0.004684479,0.03569939,0.02814307,0.002864794,0.001649489,0.5844553,0.04201348,0.2971218],"genre_scores_gemma":[0.04433841,0.006212514,0.03084439,0.01769612,0.001909589,0.001194035,0.7023028,0.01263327,0.182869],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.4372077,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2447934538856606,"score_gpt":0.5255128215981557,"score_spread":0.2807193677124952,"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."}}