{"id":"W3143119123","doi":"10.1111/cts.13025","title":"Adverse drug event risk assessment by the virtual addition of COVID‐19 repurposed drugs to Medicare and commercially insured patients’ drug regimens: A drug safety simulation study","year":2021,"lang":"en","type":"article","venue":"Clinical and Translational Science","topic":"Pharmacovigilance and Adverse Drug Reactions","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Tabula Rasa HealthCare","keywords":"Medicine; Pharmacovigilance; Drug; Hydroxychloroquine; Adverse effect; Pharmacology; Internal medicine; Intensive care medicine; Coronavirus disease 2019 (COVID-19); Disease; Infectious disease (medical specialty)","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":[0.007586566,0.000669494,0.0007223017,0.0005133291,0.0002148484,0.0007488179,0.0008496034,0.0008270513,0.001257511],"category_scores_gemma":[0.01370038,0.0003607221,0.001672294,0.000357946,0.0004722398,0.0005828978,0.0007359707,0.0007315981,0.0001155591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001096181,"about_ca_system_score_gemma":0.0007559489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002223078,"about_ca_topic_score_gemma":0.002209714,"domain_scores_codex":[0.9965975,0.002732849,0.0001177176,0.0002607707,0.0001939582,0.00009711753],"domain_scores_gemma":[0.9709058,0.02376455,0.00271778,0.001530095,0.0005498339,0.000531773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02597035,0.006359824,0.3429999,0.000303015,0.003442209,0.0005580544,0.0005366526,0.5813408,0.003591104,0.002929004,0.00075187,0.03121713],"study_design_scores_gemma":[0.00121238,0.0158633,0.04608403,0.00002233567,0.0006879296,0.0003902703,0.0001572756,0.9316512,0.001969016,0.001212884,0.0006964444,0.00005291677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971787,0.00007184852,0.002160612,0.00004651275,0.000004372372,0.00008428664,0.0001513459,0.00001382604,0.0002885181],"genre_scores_gemma":[0.9969916,0.00004679101,0.002472903,0.00003053508,0.000006508607,0.0000858023,0.0001993506,0.000001548014,0.0001648486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007586566,"threshold_uncertainty_score":0.04012209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0784886944355763,"score_gpt":0.4849883158320545,"score_spread":0.4064996213964782,"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."}}