{"id":"W1988262588","doi":"10.1503/cmaj.1040918","title":"Canadian Adverse Events Study","year":2004,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Community Based Research Centre","funders":"","keywords":"Health care; Adverse effect; Computer science; Medicine; Data science; Political science; Pharmacology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0009652965,0.0004954158,0.0009005724,0.001738286,0.002713984,0.001207539,0.001228023,0.0009165075,0.02041358],"category_scores_gemma":[0.004042775,0.0003483589,0.0008198551,0.005059163,0.0003895424,0.0006015274,0.0008457575,0.001547801,0.002542708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01504615,"about_ca_system_score_gemma":0.02631211,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9107826,"about_ca_topic_score_gemma":0.943549,"domain_scores_codex":[0.9975824,0.0001712727,0.0001368559,0.0003166551,0.001501107,0.0002915548],"domain_scores_gemma":[0.9954813,0.000192878,0.0005643637,0.0001721174,0.002911476,0.0006778367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001176517,0.0001772933,0.3140311,0.001190588,0.0005822551,0.0002645953,0.0002955384,0.0003443517,0.0001915483,0.003904283,0.6442873,0.03355457],"study_design_scores_gemma":[0.0005777748,0.0001070985,0.8842996,0.0008222815,0.0002914699,0.0002314344,0.0004104444,0.0002000301,0.00008333425,0.000500495,0.1123916,0.0000845363],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"commentary","genre_scores_codex":[0.1082883,0.02381316,0.0009892611,0.01901648,0.001919271,0.002301435,0.5739846,0.0001297648,0.2695576],"genre_scores_gemma":[0.6489356,0.04348722,0.003246047,0.01797984,0.000952781,0.003943233,0.2204892,0.0001627387,0.0608034],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.08921742,"threshold_uncertainty_score":0.1794856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02926773490966881,"score_gpt":0.3524303325958816,"score_spread":0.3231625976862128,"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."}}