{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002682356,0.000165371,0.0005637017,0.000279806,0.0004444975,0.00002046848,0.0004447471,0.00003142009,0.0002556325],"category_scores_gemma":[0.0004196797,0.0001081008,0.00007119513,0.000745561,0.0009506556,0.0002261429,0.0001033048,0.0005083876,6.558196e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007632129,"about_ca_system_score_gemma":0.003528273,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1163099,"about_ca_topic_score_gemma":0.009613111,"domain_scores_codex":[0.9958002,0.00007138662,0.0007567305,0.0002182546,0.002757653,0.0003957528],"domain_scores_gemma":[0.9979948,0.0000988994,0.0005823784,0.000310112,0.0004792602,0.0005344994],"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":[0.0005015558,0.0001818867,0.07292423,0.0004388339,0.0002874077,0.00937063,0.01066671,0.0006599,0.02641019,0.5825415,0.2843261,0.01169111],"study_design_scores_gemma":[0.007669168,0.008383295,0.02621569,0.001830665,0.0009612357,0.04898749,0.02538995,0.002981007,0.007757255,0.004916477,0.8640949,0.0008128833],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9425998,0.001589817,0.0002848504,0.02211909,0.005467147,0.0004563479,0.0000140642,0.0000569208,0.027412],"genre_scores_gemma":[0.9914385,0.00002836837,0.0008577771,0.006569634,0.0006705782,0.000005766855,0.000008103237,0.00001065339,0.0004105842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5797688,"threshold_uncertainty_score":0.8895747,"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."}}