{"id":"W3008985683","doi":"10.1111/bcp.14255","title":"Media coverage of drug regulatory agencies' safety advisories: A case study of citalopram and denosumab","year":2020,"lang":"en","type":"article","venue":"British Journal of Clinical Pharmacology","topic":"Pharmacovigilance and Adverse Drug Reactions","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Health and Medical Research Council; Medical Research Council; Canadian Institutes of Health Research","keywords":"Denosumab; Citalopram; Drug; Medicine; Pharmacology; Business; Internal medicine; Antidepressant; Osteoporosis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007602991,0.0005005465,0.0004539819,0.004844499,0.005575786,0.004350646,0.001064037,0.003116842,0.004469224],"category_scores_gemma":[0.05154404,0.0007953228,0.0006588538,0.004844426,0.003595353,0.004008888,0.003049809,0.003209623,0.0004453523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004688658,"about_ca_system_score_gemma":0.002893685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03018914,"about_ca_topic_score_gemma":0.03269654,"domain_scores_codex":[0.9890232,0.006574217,0.0008428498,0.0004567854,0.002145038,0.00095783],"domain_scores_gemma":[0.920359,0.0543619,0.01889546,0.00145644,0.003039737,0.001887476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00059265,0.000758149,0.2480135,0.001942217,0.0002168182,0.1389941,0.5301895,0.0001868423,0.001527066,0.005298051,0.01084353,0.06143766],"study_design_scores_gemma":[0.00009161219,0.0004992203,0.1720652,0.00347925,0.0003886408,0.1588319,0.6037598,0.001294691,0.001756431,0.001091611,0.05654912,0.0001925222],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789987,0.003415122,0.0003404891,0.007012181,0.00008251985,0.0001079327,0.0001416269,0.00001467065,0.009886874],"genre_scores_gemma":[0.9921336,0.004019438,0.0004923253,0.001630367,0.0002143215,0.00004727693,0.00007931975,0.00002173931,0.001361665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03018914,"threshold_uncertainty_score":0.06002688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1700333038765337,"score_gpt":0.4819599025832634,"score_spread":0.3119265987067298,"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."}}