{"id":"W1518727321","doi":"","title":"Forensic Science and Miscarriages of Justice: Some Lessons from Comparative Experience","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Autopsy Techniques and Outcomes","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Coroner; Conviction; Political science; Forensic science; Federal court; Economic Justice; Law; State (computer science); Criminology; Medicine; Sociology; Suicide prevention; Poison control; Environmental health","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":[0.05673025,0.000568367,0.001397068,0.005266292,0.04313087,0.01769138,0.005031136,0.01136445,0.008881133],"category_scores_gemma":[0.1052948,0.0008815532,0.0005137603,0.00610576,0.0838455,0.02872435,0.02159733,0.01618886,0.000588468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03008401,"about_ca_system_score_gemma":0.02050184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08191001,"about_ca_topic_score_gemma":0.1419849,"domain_scores_codex":[0.936895,0.04934145,0.001425247,0.002370322,0.005185114,0.004782869],"domain_scores_gemma":[0.9016951,0.08152658,0.003124569,0.003502754,0.006268523,0.00388249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00003680483,0.00005805003,0.001454071,0.0001301659,0.000009425609,0.001893628,0.8101619,0.00005678578,0.00004215773,0.163639,0.007546804,0.01497127],"study_design_scores_gemma":[0.00001270599,0.00006729421,0.00159441,0.0009734396,0.00001000963,0.002091121,0.805077,0.00006674003,0.0001432183,0.02958847,0.160324,0.00005166111],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3267736,0.075881,0.006268157,0.2593764,0.00276613,0.0001264256,0.0001539121,0.00006487755,0.3285895],"genre_scores_gemma":[0.9535861,0.01985893,0.0008962229,0.01231842,0.0007633159,0.00007908747,0.00004363628,0.00007572128,0.01237858],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08191001,"threshold_uncertainty_score":0.3000218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02796659810500549,"score_gpt":0.3625714091984045,"score_spread":0.334604811093399,"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."}}