{"id":"W2757627704","doi":"","title":"The Medical Malpractice Landscape in Ontario: Facts, Trends and Analysis of Trials and Appeals","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Appeal; Malpractice; Jury; Medical malpractice; Law; Causation; Trial court; Political science; Medicine; Civil procedure","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.003358147,0.0002126545,0.0006023498,0.00973467,0.002315144,0.003377182,0.001198604,0.0008601849,0.004572228],"category_scores_gemma":[0.02822006,0.0004192988,0.0005740643,0.01862384,0.001533462,0.001454408,0.001603592,0.0009229115,0.0006045661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03605957,"about_ca_system_score_gemma":0.04019184,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9387022,"about_ca_topic_score_gemma":0.9756812,"domain_scores_codex":[0.9922361,0.0004501187,0.0009615874,0.0006626577,0.004747239,0.000942384],"domain_scores_gemma":[0.9426321,0.008002474,0.02175882,0.00128348,0.02199656,0.004326598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002582332,0.00006608194,0.8961281,0.0007801945,0.0001435585,0.0007861682,0.008832462,0.0004136221,0.0005092684,0.002803466,0.02407655,0.06520241],"study_design_scores_gemma":[0.000008539465,0.00003126864,0.9741887,0.0001927544,0.00003142733,0.0001551769,0.002411078,0.0002255858,0.00007203947,0.0002041287,0.0224522,0.00002707438],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8797831,0.01804915,0.001087644,0.01517074,0.0001603875,0.0004147674,0.04104345,0.0001214623,0.04416928],"genre_scores_gemma":[0.9688351,0.00844082,0.0009300278,0.001183563,0.0001688513,0.0001438346,0.01036349,0.00006323163,0.009871119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06129777,"threshold_uncertainty_score":0.2616317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06962025447339588,"score_gpt":0.4570706523374404,"score_spread":0.3874503978640445,"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."}}