{"id":"W2136080343","doi":"10.1177/009286150003400413","title":"Pharmaceutical Industry-Based Medical Information in Canada","year":2000,"lang":"en","type":"article","venue":"Drug Information Journal","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Smiths Detection (Canada)","funders":"","keywords":"Medical prescription; Pharmacy; Product (mathematics); Marketing; Business; Health care; Medical information; Pharmaceutical industry; Variety (cybernetics); Consumer information; Information system; Medicine; Public relations; Family medicine; Nursing","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002416532,0.000226752,0.0003910577,0.0052408,0.007157165,0.00712666,0.001595001,0.001882776,0.01794679],"category_scores_gemma":[0.01541429,0.000558233,0.0005522857,0.01145183,0.001464889,0.001575992,0.002217135,0.002480401,0.000828293],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1718076,"about_ca_system_score_gemma":0.2909171,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9974783,"about_ca_topic_score_gemma":0.9988599,"domain_scores_codex":[0.9936139,0.0003988302,0.0003526974,0.0004394735,0.003560856,0.001634238],"domain_scores_gemma":[0.9563836,0.005651651,0.003486779,0.0003707166,0.02026623,0.01384105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007487233,0.0007085671,0.5327897,0.00105446,0.0002365129,0.003028702,0.009664638,0.002624866,0.001296969,0.05810643,0.2274542,0.1622862],"study_design_scores_gemma":[0.0001308097,0.0001260013,0.7277797,0.000537634,0.0001300683,0.0005161279,0.009072778,0.003101879,0.0007555686,0.001305378,0.2564122,0.00013172],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5693831,0.01346762,0.001034103,0.1361538,0.000989813,0.0005607451,0.0249415,0.0003614038,0.2531079],"genre_scores_gemma":[0.9056375,0.005325542,0.001175382,0.01581454,0.0001797039,0.00005919659,0.003363534,0.00008490102,0.06835963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8281925,"threshold_uncertainty_score":0.9605858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1616405465122817,"score_gpt":0.4777336831605613,"score_spread":0.3160931366482795,"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."}}