{"id":"W2606990000","doi":"10.23907/2011.036","title":"An Overview of Statistics for Forensic Pathologists","year":2011,"lang":"en","type":"article","venue":"Academic Forensic Pathology","topic":"Autopsy Techniques and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Forensic science; Forensic pathology; Data science; Computer science; Statistical analysis; Medicine; Statistics; Pathology; Mathematics; Autopsy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004725057,0.0002165727,0.0006830237,0.0001327825,0.00004009321,0.000001256238,0.0002008903,0.000510796,0.00009236692],"category_scores_gemma":[0.0003199314,0.0001768713,0.0001375958,0.0001206304,0.0005039496,0.00007062366,0.0000607486,0.0003862755,0.00000983316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003400677,"about_ca_system_score_gemma":0.00008184072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002808782,"about_ca_topic_score_gemma":0.000008274996,"domain_scores_codex":[0.9984178,0.00006305971,0.0005901946,0.0003673204,0.000142161,0.0004194992],"domain_scores_gemma":[0.9987438,0.0001197499,0.0002942003,0.0005251996,0.0001866608,0.0001303367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0008028847,0.0002786656,0.1628495,0.0008267278,0.0001050817,0.0006600268,0.002626986,6.61666e-7,0.02123981,0.5946938,0.01710049,0.1988153],"study_design_scores_gemma":[0.003903524,0.007606146,0.5709048,0.0003202682,0.0008215908,0.002917635,0.0003438713,0.0006069683,0.0787996,0.3242289,0.008781694,0.0007650285],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8672339,0.002540775,0.1253479,0.0003471372,0.0006235256,0.001555396,0.0004645852,0.0003733909,0.001513341],"genre_scores_gemma":[0.7310984,0.0008630056,0.2654603,0.002029194,0.0001076085,0.00007551017,0.000148603,0.00004660633,0.0001707302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4080552,"threshold_uncertainty_score":0.7212601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1343885915700188,"score_gpt":0.3873979024965868,"score_spread":0.253009310926568,"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."}}