{"id":"W4206312494","doi":"10.1503/cmaj.061542","title":"Query","year":2007,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Pharmacy and Medical Practices","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009612985,0.001595897,0.001237327,0.002623252,0.001417781,0.004574496,0.002118692,0.003253039,0.601989],"category_scores_gemma":[0.01099568,0.0004658663,0.001152645,0.002201201,0.0004661066,0.007373109,0.003583306,0.001365616,0.5052028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002247431,"about_ca_system_score_gemma":0.001583618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01892629,"about_ca_topic_score_gemma":0.0173233,"domain_scores_codex":[0.9985718,0.0001783868,0.0001225699,0.0003213281,0.0006117698,0.0001942124],"domain_scores_gemma":[0.9974541,0.0005810971,0.0001037888,0.000404689,0.001218824,0.0002375426],"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":[0.00005611586,0.0000138487,0.0003448038,0.0001911182,0.000005462402,0.00005863095,0.00004460799,0.00007468324,0.000234845,0.001835361,0.9856799,0.0114606],"study_design_scores_gemma":[0.00004168884,0.00001647575,0.000639617,0.0001149694,0.000007134806,0.0001638408,0.0001758626,0.0005391269,0.0005109377,0.003577133,0.9941895,0.00002365204],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002112215,0.00195092,0.01379396,0.01773511,0.002080662,0.001217124,0.5560765,0.03487824,0.3701552],"genre_scores_gemma":[0.024018,0.002688973,0.017179,0.01525272,0.001422939,0.0009885265,0.6615967,0.01361257,0.2632406],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.398011,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07772715781581198,"score_gpt":0.4542728593148304,"score_spread":0.3765457014990184,"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."}}