{"id":"W3121676279","doi":"10.1007/s40290-020-00370-9","title":"Drug Advertising Violations: A Longitudinal Trend Analysis of FDA Enforcement Letters from 2005 to 2019","year":2021,"lang":"en","type":"article","venue":"Pharmaceutical Medicine","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Work & Health; Public Health Ontario; McMaster University; University of Toronto","funders":"","keywords":"Enforcement; Revenue; Promotion (chess); Advertising; Business; Medical prescription; Food and drug administration; Prescription drug; Medicine; Marketing; Accounting; Environmental health; Pharmacology; Political science; Law","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":[0.001862848,0.0002701449,0.0003483851,0.003791072,0.0006654778,0.001956411,0.0009808157,0.001301568,0.003826108],"category_scores_gemma":[0.008049319,0.0004434112,0.0009129986,0.006388384,0.0003534066,0.002022804,0.00126414,0.001514773,0.001409688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001649275,"about_ca_system_score_gemma":0.002018644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09051014,"about_ca_topic_score_gemma":0.1211721,"domain_scores_codex":[0.9976031,0.0003516002,0.0004588431,0.0004778975,0.0004873857,0.000621202],"domain_scores_gemma":[0.9838803,0.00155102,0.01063823,0.0005115733,0.002589351,0.0008294569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001306036,0.00008115871,0.9965411,0.00001621384,0.00007441983,0.00004631442,0.0001931755,0.00006463247,0.00004015774,0.00004089491,0.0009300089,0.001841275],"study_design_scores_gemma":[0.000002797753,0.00005569201,0.9979361,0.00001693609,0.00002547841,0.00008162357,0.0006571247,0.0003414801,0.00003503131,0.00001561417,0.0008246854,0.000007501999],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986126,0.0005046699,0.0001440427,0.0004985525,0.00002551412,0.00002261424,0.0107729,0.00002561637,0.001880204],"genre_scores_gemma":[0.9880602,0.0003084352,0.0001206812,0.0001603185,0.00002456138,0.00002979771,0.009553568,0.0000136551,0.001728731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09051014,"threshold_uncertainty_score":0.1799666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3513951824707327,"score_gpt":0.5601475269582138,"score_spread":0.2087523444874811,"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."}}