{"id":"W2003623119","doi":"10.1097/pts.0b013e318298e916","title":"A Tool to Determine Financial Impact of Adverse Events in Health Care","year":2013,"lang":"en","type":"article","venue":"Journal of Patient Safety","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Island Health","funders":"","keywords":"Reimbursement; Calculator; Health care; Payment; Psychological intervention; Actuarial science; Quality management; Business; Health economics; Quality (philosophy); Medicine; Finance; Operations management; Computer science; Economics; Nursing; Marketing","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":[0.02079374,0.00193206,0.00134414,0.0239781,0.0005876099,0.003451629,0.001220277,0.001007058,0.02042604],"category_scores_gemma":[0.1150086,0.0004921324,0.002850835,0.01141599,0.0004790227,0.004000295,0.002481194,0.001415883,0.003379121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001792697,"about_ca_system_score_gemma":0.002965456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002551881,"about_ca_topic_score_gemma":0.002415089,"domain_scores_codex":[0.9798939,0.006602258,0.005868369,0.001052066,0.006116978,0.0004663497],"domain_scores_gemma":[0.8451466,0.1007449,0.0286323,0.004685227,0.01865042,0.002140645],"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":[0.001536833,0.001060078,0.4193044,0.002457458,0.001551205,0.0003718755,0.0008306309,0.01137717,0.0005598848,0.007449855,0.1176706,0.4358299],"study_design_scores_gemma":[0.001891494,0.003104826,0.6566427,0.003377577,0.001523199,0.002381254,0.002031606,0.1066988,0.006232916,0.02552016,0.1898826,0.0007128712],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.3790664,0.004124247,0.197074,0.008022485,0.001764529,0.01552301,0.2316,0.03596093,0.1268644],"genre_scores_gemma":[0.6087798,0.001562512,0.3132312,0.001799745,0.0005616298,0.01459383,0.05237937,0.001155652,0.005936273],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0239781,"threshold_uncertainty_score":0.1099691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01552827133297327,"score_gpt":0.2525276201098866,"score_spread":0.2369993487769133,"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."}}