{"id":"W2020913875","doi":"10.1097/00005650-200209000-00013","title":"Economic Messages in Prescription Drug Advertisements in Medical Journals","year":2002,"lang":"en","type":"article","venue":"Medical Care","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Prescription drug; Medical prescription; Advertising; Drug; Business; Medicine; Family medicine; Pharmacology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03525285,0.0003777589,0.0006826792,0.01849465,0.001142332,0.002926847,0.0006842464,0.001095267,0.002603442],"category_scores_gemma":[0.1882166,0.0004620282,0.0004549491,0.01003393,0.001695208,0.00260219,0.00162451,0.0006206041,0.0003961533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001954949,"about_ca_system_score_gemma":0.001608653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001608335,"about_ca_topic_score_gemma":0.00260021,"domain_scores_codex":[0.9648811,0.01484867,0.007556361,0.001405628,0.01068381,0.0006244762],"domain_scores_gemma":[0.4085411,0.3411556,0.2126558,0.005542052,0.02990895,0.002196433],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001969372,0.0002060483,0.7874011,0.01450081,0.0004411587,0.002551639,0.01912633,0.0002036365,0.004420866,0.001134798,0.008937305,0.1591069],"study_design_scores_gemma":[0.00007811975,0.0003577884,0.9508765,0.004017814,0.0004322977,0.003422326,0.006695367,0.0003527316,0.002590171,0.0006684826,0.03043653,0.00007198896],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9523799,0.02508695,0.001260751,0.00482166,0.0006362962,0.0004870287,0.002187067,0.00009420691,0.01304605],"genre_scores_gemma":[0.9827539,0.008759513,0.002821172,0.001755948,0.001471201,0.0002361543,0.001060505,0.00003826648,0.00110344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9647471,"threshold_uncertainty_score":0.1864371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3441401216357832,"score_gpt":0.554773639419146,"score_spread":0.2106335177833628,"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."}}