{"id":"W2106924426","doi":"10.1001/archinternmed.2012.340","title":"Drug, Patient, and Physician Characteristics Associated With Off-label Prescribing in Primary Care","year":2012,"lang":"en","type":"article","venue":"Archives of Internal Medicine","topic":"Pharmaceutical studies and practices","field":"Medicine","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; McGill University","keywords":"Medicine; Off-label use; Medical prescription; Drug; Odds ratio; Logistic regression; Comorbidity; Emergency medicine; Family medicine; Internal medicine; Psychiatry; Pharmacology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002519661,0.0001746795,0.0003376849,0.001130035,0.0006944504,0.001020586,0.0004535194,0.0006818408,0.00214072],"category_scores_gemma":[0.01629865,0.0002608126,0.0004289829,0.002204778,0.0005720608,0.00048709,0.0005374674,0.0008447213,0.000134722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002273465,"about_ca_system_score_gemma":0.002361494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1183867,"about_ca_topic_score_gemma":0.1411097,"domain_scores_codex":[0.9967828,0.001133703,0.0003958412,0.0004250828,0.0009357103,0.0003268727],"domain_scores_gemma":[0.9640327,0.01356009,0.01723127,0.0009505305,0.00232259,0.001902808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002023634,0.00001572454,0.9994335,0.0000104467,0.00001628655,0.00002214699,0.00004344453,0.00001325322,0.00001209496,0.00000474642,0.00006756547,0.0003405284],"study_design_scores_gemma":[0.000003558869,0.00002723499,0.9995028,0.00001721404,0.00001253754,0.0001003716,0.0001027699,0.0001258433,0.00001028388,0.000008934188,0.00008660705,0.000001879826],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971028,0.001046623,0.0000707679,0.0003803534,0.000008728586,0.00002281837,0.0006526785,0.000004925236,0.0007103285],"genre_scores_gemma":[0.9993774,0.0001631585,0.00009074173,0.00007257787,0.00001310276,0.000006322869,0.0002258961,0.000001186393,0.00004950183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1183867,"threshold_uncertainty_score":0.2353953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02990321187054228,"score_gpt":0.308587947227479,"score_spread":0.2786847353569367,"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."}}