{"id":"W2611532689","doi":"10.1111/1556-4029.13532","title":"Autopsy Fingerprint Technique Using Fingerprint Powder","year":2017,"lang":"en","type":"article","venue":"Journal of Forensic Sciences","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Office of the Chief Medical Examiner","funders":"","keywords":"Fingerprint (computing); Computer science; Artificial intelligence; Rigor mortis; Pattern recognition (psychology); Computer vision; Medicine; Anatomy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009464028,0.0007222479,0.0005736048,0.002059645,0.0006863477,0.0005815413,0.0006897529,0.000826744,0.003679565],"category_scores_gemma":[0.001306,0.0003158314,0.0006439872,0.000975244,0.0005506801,0.0009519531,0.0007774319,0.0009239057,0.002584475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001516886,"about_ca_system_score_gemma":0.0004451847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004606579,"about_ca_topic_score_gemma":0.0006514505,"domain_scores_codex":[0.9992709,0.000102321,0.00008279482,0.0002019192,0.0002886064,0.00005353824],"domain_scores_gemma":[0.9994242,0.000144471,0.0001007227,0.0001502567,0.0001423842,0.000038042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00111831,0.0004553932,0.01236961,0.0009882596,0.0001110948,0.006067262,0.000639367,0.000393714,0.6893058,0.002402107,0.002335369,0.2838137],"study_design_scores_gemma":[0.0001904847,0.00534935,0.03729536,0.0005100585,0.0005901611,0.06441272,0.001003052,0.003979881,0.8091426,0.002363175,0.07495561,0.0002075993],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4005848,0.01879943,0.5456491,0.001018111,0.00146919,0.001973004,0.001797784,0.002472011,0.02623645],"genre_scores_gemma":[0.5248517,0.02275153,0.4227918,0.0009714513,0.0005229926,0.00099098,0.002039153,0.000327593,0.02475274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003679565,"threshold_uncertainty_score":0.01230937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05105378212378827,"score_gpt":0.36758970426597,"score_spread":0.3165359221421818,"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."}}