{"id":"W1984436990","doi":"10.3138/utlj.61.3.343","title":"A CONTEXTUAL APPROACH TO THE ADMISSIBILITY OF THE STATE'S FORENSIC SCIENCE AND MEDICAL EVIDENCE","year":2011,"lang":"en","type":"article","venue":"University of Toronto Law Journal","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adversarial system; Political science; Federal Rules of Evidence; Admissible evidence; Law; Scientific evidence; Criminal justice; Contemplation; Adversary; Empirical evidence; Psychology; Engineering ethics; Epistemology; Engineering; Computer science; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0636733,0.0008045592,0.001620847,0.007900449,0.01705003,0.02039726,0.004107676,0.0125785,0.004048023],"category_scores_gemma":[0.1075223,0.001324943,0.001517343,0.003594451,0.07516677,0.01419099,0.01591001,0.01439449,0.0005269796],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01695426,"about_ca_system_score_gemma":0.02443133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01652872,"about_ca_topic_score_gemma":0.01814185,"domain_scores_codex":[0.9283422,0.04916134,0.003902399,0.005520382,0.009993047,0.003080592],"domain_scores_gemma":[0.8880696,0.08836749,0.004672829,0.007455437,0.008919756,0.002514882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000006377178,0.000004817122,0.0002043493,0.00004350059,0.000006933745,0.0001004826,0.003009664,0.0001823816,0.00005662049,0.993989,0.0005797692,0.001816071],"study_design_scores_gemma":[0.00001898122,0.00003839644,0.0007032959,0.0008797389,0.00004688289,0.0002332628,0.005116299,0.0004890511,0.0002574507,0.9251624,0.06701113,0.00004307519],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02774028,0.01817882,0.2651802,0.2330808,0.00263193,0.0005130437,0.0003361526,0.0001702717,0.4521686],"genre_scores_gemma":[0.9105935,0.005235897,0.0544731,0.02100494,0.001984981,0.0006802607,0.000105126,0.00008435212,0.005837793],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9830458,"threshold_uncertainty_score":0.3367406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0980487035760128,"score_gpt":0.3624665555673414,"score_spread":0.2644178519913286,"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."}}