{"id":"W4298110547","doi":"10.4038/sljfmsl.v13i0.7914","title":"Medico-Legal Death Investigation Systems – Canada","year":2022,"lang":"en","type":"article","venue":"Sri Lanka Journal of Forensic Medicine Science & Law","topic":"Autopsy Techniques and Outcomes","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Publishing; Medical journal; Sri lanka; Library science; Publication; Forensic science; Political science; Medical education; Medicine; Sociology; Law; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003321403,0.0003587985,0.0003466197,0.004950966,0.006612079,0.006420323,0.002566326,0.001305166,0.04919383],"category_scores_gemma":[0.01961322,0.0005611556,0.0005101495,0.006998465,0.001275328,0.002056159,0.002920455,0.001677334,0.005239729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0799435,"about_ca_system_score_gemma":0.19554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9824564,"about_ca_topic_score_gemma":0.9908344,"domain_scores_codex":[0.994194,0.000523956,0.0003718815,0.0005115775,0.002996513,0.001402073],"domain_scores_gemma":[0.9692694,0.002518038,0.001174768,0.0005885343,0.02022246,0.006226735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003437777,0.0001887024,0.1047625,0.0008811009,0.0001319755,0.0009930218,0.005200068,0.001526908,0.000420023,0.07947699,0.6389265,0.1671483],"study_design_scores_gemma":[0.000111388,0.00008213863,0.1996955,0.001019151,0.00008506843,0.0006074388,0.008727284,0.002711675,0.000465371,0.003614374,0.7827491,0.0001315534],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1111644,0.008109249,0.002823983,0.05582323,0.001458314,0.001737312,0.07340821,0.0007859585,0.7446893],"genre_scores_gemma":[0.4955902,0.0118046,0.01039521,0.01386357,0.0003340853,0.0007147311,0.04412778,0.0004088654,0.422761],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0799435,"threshold_uncertainty_score":0.5800334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02141123000238703,"score_gpt":0.2805453497467751,"score_spread":0.259134119744388,"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."}}