{"id":"W4395030880","doi":"10.29173/alr2716","title":"Expert Evidence Admissibility: From Rocky Highlands to Swampy Lowlands, via the Medical Standard of Care","year":2022,"lang":"en","type":"article","venue":"Alberta Law Review","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Standard of care; Archaeology; Law; Geography; Political science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01559007,0.0002628345,0.0005313233,0.003457461,0.00961041,0.01368332,0.002052499,0.005900241,0.007547355],"category_scores_gemma":[0.04226607,0.0005063672,0.0002855144,0.00221711,0.04269058,0.01510455,0.01059234,0.007345027,0.0004464686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01426802,"about_ca_system_score_gemma":0.01725272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0415721,"about_ca_topic_score_gemma":0.06763427,"domain_scores_codex":[0.9884763,0.006693086,0.0005275088,0.001337823,0.001896973,0.001068406],"domain_scores_gemma":[0.973217,0.02207877,0.001283223,0.0009599783,0.001451808,0.001009185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002623562,0.00001902073,0.000866377,0.0001694439,0.000004190542,0.0003700845,0.04858537,0.00009377101,0.0002193141,0.924606,0.002218504,0.02282159],"study_design_scores_gemma":[0.000041054,0.0002140178,0.009183878,0.004080188,0.00003515626,0.0005096098,0.1373058,0.0009075986,0.001184462,0.5427431,0.3037159,0.00007928315],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2089787,0.02612895,0.02745484,0.3224404,0.00107326,0.0002081826,0.0000887522,0.00006377194,0.4135632],"genre_scores_gemma":[0.9594061,0.004076153,0.005841794,0.01577724,0.0002946949,0.0001430217,0.00002613026,0.00003298622,0.0144018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0415721,"threshold_uncertainty_score":0.1035222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06895218999246895,"score_gpt":0.4555310683947125,"score_spread":0.3865788784022436,"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."}}