{"id":"W3170732610","doi":"","title":"Justice without science? Judging the reliability of forensic science in Canada","year":2021,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Forensic science; Scrutiny; Safeguarding; Eyewitness identification; Law; Supreme court; Political science; Reliability (semiconductor); Criminal justice; Economic Justice; Criminology; Psychology; History; Computer science; Medicine; Power (physics); Relation (database)","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.07664824,0.000397403,0.001156396,0.01007072,0.0282937,0.02275774,0.005696695,0.006117595,0.004098158],"category_scores_gemma":[0.2527488,0.001054518,0.000659323,0.008965838,0.02884409,0.006918421,0.01063184,0.008620722,0.0003552164],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1380773,"about_ca_system_score_gemma":0.3244413,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9810216,"about_ca_topic_score_gemma":0.9907185,"domain_scores_codex":[0.925783,0.01527342,0.00435545,0.003727004,0.04263909,0.008222016],"domain_scores_gemma":[0.7598643,0.1082821,0.01007874,0.005994007,0.1028425,0.01293823],"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":[0.0002462353,0.00009507297,0.08512456,0.001037711,0.0003197036,0.003092979,0.0618308,0.002178612,0.001206683,0.5297324,0.1206392,0.194496],"study_design_scores_gemma":[0.0001739962,0.0001713545,0.1704893,0.006150277,0.0005108147,0.001568065,0.07034364,0.007292818,0.003443422,0.2183829,0.5206717,0.0008018034],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1340231,0.03523601,0.006560227,0.5271547,0.001537357,0.0003849659,0.0007188051,0.000120067,0.2942648],"genre_scores_gemma":[0.9377658,0.0137003,0.009144616,0.02851716,0.0005101605,0.00008066163,0.0001782379,0.0000984099,0.01000456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9717063,"threshold_uncertainty_score":0.9997082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04290629308924639,"score_gpt":0.375836409594926,"score_spread":0.3329301165056796,"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."}}