{"id":"W2994891006","doi":"10.1503/cmaj.73407","title":"Avoiding harm to patients: properly calculating costs of harm","year":2019,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Joseph’s Healthcare Hamilton","funders":"","keywords":"Harm; Do no harm; Computer science; Patient safety; Risk analysis (engineering); Medicine; Actuarial science; Medical emergency; Psychology; Health care; Business; Psychiatry; Economics; Social psychology","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":[0.01653532,0.000852923,0.001260184,0.003085156,0.002182405,0.009492655,0.002571702,0.003918101,0.00593719],"category_scores_gemma":[0.2018508,0.000428444,0.0008001057,0.003726907,0.003600918,0.00735181,0.002537624,0.009942547,0.002388194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01361576,"about_ca_system_score_gemma":0.02018408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1049107,"about_ca_topic_score_gemma":0.1439484,"domain_scores_codex":[0.9756797,0.01343309,0.0015347,0.0004516098,0.008418483,0.000482337],"domain_scores_gemma":[0.8787636,0.07637156,0.005636121,0.003027953,0.03381006,0.002390739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001211117,0.0000773502,0.02383522,0.0006074852,0.0002504594,0.0006943579,0.001723961,0.005021235,0.00009991538,0.1449257,0.568015,0.2546282],"study_design_scores_gemma":[0.00006015127,0.0002067995,0.02462621,0.006494384,0.0002277953,0.005441058,0.007915662,0.02123444,0.0006116408,0.3906226,0.5422335,0.000325703],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.009074944,0.0224046,0.05635238,0.8002824,0.01019124,0.0003177867,0.0008157691,0.0002686068,0.1002923],"genre_scores_gemma":[0.4776844,0.05968187,0.250989,0.1653584,0.02194614,0.0007942534,0.0009527243,0.0007416212,0.02185151],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1049107,"threshold_uncertainty_score":0.2086002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03798749141545976,"score_gpt":0.3697859021651769,"score_spread":0.3317984107497172,"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."}}