{"id":"W1550396361","doi":"10.1002/0470842555.ch30","title":"Evaluating and Improving Physician Prescribing","year":2000,"lang":"en","type":"other","venue":"Pharmacoepidemiology","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Pharmacoepidemiology; Medicine; Alternative medicine; Family medicine; Data science; Management science; Computer science; Medical prescription; Pharmacology; Engineering; Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.009531057,0.0005434174,0.0006974752,0.003058307,0.0007617627,0.00272547,0.0007547249,0.0007471613,0.01134459],"category_scores_gemma":[0.04441079,0.0002920782,0.000420943,0.003816993,0.0004015132,0.002971664,0.0007488457,0.00106351,0.002263341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002561811,"about_ca_system_score_gemma":0.006458831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01723702,"about_ca_topic_score_gemma":0.03711518,"domain_scores_codex":[0.9911587,0.003790814,0.001036633,0.0004410386,0.003379093,0.0001937968],"domain_scores_gemma":[0.9750633,0.01411864,0.003103937,0.001221594,0.005569743,0.0009227844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004927845,0.0003442885,0.0347442,0.0004481822,0.00003538244,0.00003652583,0.0003323654,0.0004911316,0.0001847848,0.002611367,0.06540102,0.8953215],"study_design_scores_gemma":[0.0002260172,0.0008949718,0.5571204,0.007048171,0.0005050985,0.0008930457,0.004225413,0.01237219,0.004926006,0.04010014,0.3715408,0.0001476959],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1411896,0.08720515,0.02248039,0.1848134,0.003879821,0.001240219,0.009925208,0.002369089,0.5468972],"genre_scores_gemma":[0.4748555,0.1611344,0.1976407,0.02086963,0.005145632,0.000955301,0.006761606,0.0003617796,0.1322754],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01723702,"threshold_uncertainty_score":0.05040562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2962103559069731,"score_gpt":0.5142947465678749,"score_spread":0.2180843906609017,"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."}}