{"id":"W4403871780","doi":"10.5539/cis.v17n2p52","title":"Application and Innovation of Artificial Intelligence in Forensic Medicine","year":2024,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Autopsy Techniques and Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shantou University","keywords":"Computer science; Forensic science; Artificial intelligence; Data science; Medicine; Veterinary medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004225339,0.00003556789,0.00007726093,0.0006424547,0.00002305047,0.00002377181,0.00003343457,0.00001832874,0.000003091909],"category_scores_gemma":[0.00003129481,0.00002570242,0.00000438884,0.001345947,0.0002451484,0.0009908446,0.00003364196,0.00004530776,0.000001587511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001451527,"about_ca_system_score_gemma":0.00003665535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008299467,"about_ca_topic_score_gemma":3.440358e-7,"domain_scores_codex":[0.9994723,0.000002032561,0.0002697111,0.00006921631,0.0001332016,0.00005357676],"domain_scores_gemma":[0.9997563,0.00002136811,0.00003767304,0.00006254953,0.0001035403,0.00001859448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003114771,0.000001889563,0.0008200792,0.00006601127,4.571366e-7,1.460297e-7,0.0008089045,0.000003960211,0.0005526388,0.2829602,0.00002525936,0.7147574],"study_design_scores_gemma":[0.00007574404,0.0001899953,0.09864813,0.0002435968,0.000005007163,0.00003844921,0.0001618727,0.8813142,0.004834221,0.01112871,0.003299532,0.00006057804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1553465,0.00005893421,0.8424304,0.0009172706,0.00007410945,0.0001515309,4.718307e-7,0.00003225089,0.0009885274],"genre_scores_gemma":[0.9897874,0.00005937492,0.009714635,0.0004010413,0.00002555424,0.000003391376,0.000004461834,8.743497e-7,0.000003256867],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8813102,"threshold_uncertainty_score":0.1048114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02791694235874904,"score_gpt":0.3368748047189426,"score_spread":0.3089578623601936,"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."}}