{"id":"W1561536395","doi":"10.18433/j3kk6c","title":"Effectiveness of Academic Detailing to Optimize Medication Prescribing Behaviour of Family Physicians","year":2013,"lang":"en","type":"review","venue":"Journal of Pharmacy & Pharmaceutical Sciences","topic":"Innovations in Medical Education","field":"Medicine","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Simon Fraser University; Arthritis Research Centre of Canada; University of British Columbia","funders":"","keywords":"Interquartile range; Observational study; Medicine; Randomized controlled trial; Medical prescription; MEDLINE; Intervention (counseling); Meta-analysis; Sample size determination; Family medicine; Internal medicine; Psychiatry; Pharmacology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.009998763,0.0006111559,0.002637159,0.002447713,0.0003421825,0.001078757,0.0009472611,0.00124175,0.003058197],"category_scores_gemma":[0.04883418,0.0003448698,0.003233946,0.00181676,0.0004820833,0.001245943,0.000622934,0.0007443622,0.0001121061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001672085,"about_ca_system_score_gemma":0.002233129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00309849,"about_ca_topic_score_gemma":0.005403426,"domain_scores_codex":[0.9918069,0.004230563,0.002000836,0.0004890567,0.001318554,0.0001540732],"domain_scores_gemma":[0.9618697,0.02796191,0.008131579,0.0005246518,0.0009569945,0.0005551041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.05035429,0.005399643,0.0198196,0.3482184,0.03924613,0.0002420287,0.001390451,0.001167397,0.00170042,0.00043819,0.00116469,0.5308587],"study_design_scores_gemma":[0.07266291,0.1364011,0.285469,0.2371266,0.2353845,0.001402055,0.001790722,0.002632933,0.00455728,0.001455023,0.02084951,0.0002682835],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.343504,0.648401,0.0005583187,0.001888967,0.000507418,0.001256602,0.0004577729,0.00004114998,0.003384776],"genre_scores_gemma":[0.8251951,0.1669795,0.004792579,0.0009135396,0.0009468584,0.0006742629,0.0002717746,0.000008636829,0.0002177116],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009998763,"threshold_uncertainty_score":0.05287915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1926486052342292,"score_gpt":0.524194250992513,"score_spread":0.3315456457582839,"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."}}