{"id":"W2902193528","doi":"10.1186/s12874-018-0617-4","title":"Methods for evaluating adverse drug event preventability in emergency department patients","year":2018,"lang":"en","type":"article","venue":"BMC Medical Research Methodology","topic":"Pharmacovigilance and Adverse Drug Reactions","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University; Vancouver Coastal Health; Vancouver General Hospital","funders":"Canadian Institutes of Health Research; Health Canada","keywords":"Emergency department; Medicine; Adverse drug event; Adverse effect; Medical emergency; Drug; MEDLINE; Emergency medicine; Pharmacology; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.08546105,0.0002644025,0.0005940807,0.0003836414,0.0005210525,0.000005691378,0.0007225628,0.000486389,0.01021493],"category_scores_gemma":[0.06982922,0.0002380961,0.0002547985,0.0007311029,0.000862298,0.0001500398,0.000429579,0.00181823,0.0002320665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004162431,"about_ca_system_score_gemma":0.001242238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001216311,"about_ca_topic_score_gemma":0.0007764607,"domain_scores_codex":[0.954109,0.04158685,0.001122414,0.0008523244,0.0008773457,0.00145204],"domain_scores_gemma":[0.9593711,0.03826765,0.0002106616,0.0004314276,0.0008252275,0.0008939439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005118507,0.003977362,0.2207712,0.0006032087,0.0002979378,0.00001766491,0.002563055,0.0002420899,0.017148,0.002021771,0.02206443,0.7251748],"study_design_scores_gemma":[0.02097846,0.002683482,0.1088251,0.0001935847,0.0003358948,0.0000238891,0.002074469,0.109186,0.07513882,0.06308688,0.616293,0.001180506],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8932108,0.0004993657,0.09464208,0.001521596,0.004786682,0.003070661,0.00007456267,0.00007838332,0.002115826],"genre_scores_gemma":[0.7474252,0.001229309,0.2427037,0.00140698,0.001605016,0.003467778,0.0001580398,0.00007117803,0.001932813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7239943,"threshold_uncertainty_score":0.9906899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7224820786822599,"score_gpt":0.7322219610896736,"score_spread":0.009739882407413747,"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."}}