{"id":"W3102018481","doi":"10.1002/prp2.680","title":"Regulatory post‐market drug safety advisories on cardiac harm: A comparison of four national regulatory agencies","year":2020,"lang":"en","type":"article","venue":"Pharmacology Research & Perspectives","topic":"Pharmacovigilance and Adverse Drug Reactions","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Harm; Drug; Business; Medicine; Pharmacology; Risk analysis (engineering); Medical emergency; Actuarial science; Environmental health; Political science; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02772059,0.000239999,0.0007228247,0.004603066,0.001030784,0.002390349,0.0009515147,0.0008865474,0.001900508],"category_scores_gemma":[0.09662948,0.000503873,0.001382437,0.005894974,0.001734873,0.003102691,0.003399821,0.00127882,0.0002904022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004678926,"about_ca_system_score_gemma":0.005509509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02143689,"about_ca_topic_score_gemma":0.02351601,"domain_scores_codex":[0.9663876,0.0118802,0.007439926,0.002278905,0.01040282,0.001610557],"domain_scores_gemma":[0.8463864,0.05895728,0.06456093,0.004995923,0.02062322,0.004476258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001516793,0.0005007801,0.9294315,0.0009904484,0.0005128839,0.0001296202,0.01200095,0.000198629,0.0004804193,0.0005296634,0.001063835,0.05264441],"study_design_scores_gemma":[0.00009054637,0.0006313215,0.9835863,0.0003335569,0.0002270451,0.0001822811,0.009940274,0.0003561723,0.0003096716,0.00007785713,0.004222422,0.00004255796],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934461,0.001286528,0.0003526545,0.0004032367,0.00001887091,0.0002729657,0.0006365145,0.00002138216,0.003561815],"genre_scores_gemma":[0.9968424,0.0009356409,0.0006244981,0.0003443978,0.00001772413,0.000198457,0.000676681,0.00001733948,0.000342884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02772059,"threshold_uncertainty_score":0.1466022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2770104024896559,"score_gpt":0.5256327882399979,"score_spread":0.2486223857503421,"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."}}