{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001272199,0.0001080993,0.0001681372,0.00009328625,0.0004880798,0.0001711869,0.0007728681,0.00008946728,0.00002597301],"category_scores_gemma":[0.0005066964,0.00007816673,0.0001409224,0.0000617991,0.001011666,0.00001583278,0.0002661989,0.000143179,0.000002749001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001776015,"about_ca_system_score_gemma":0.0003658448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000365296,"about_ca_topic_score_gemma":0.00001074877,"domain_scores_codex":[0.9987797,0.00003723425,0.0002897477,0.0002034466,0.000416001,0.0002739268],"domain_scores_gemma":[0.9988419,0.00001535613,0.0004102816,0.0003806747,0.0002451827,0.0001066044],"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":[0.00006723905,0.00004626304,0.01428631,0.00001398281,0.00005383497,0.0000504696,0.00008698046,0.0005640062,0.9481993,0.0005438121,0.001894289,0.03419347],"study_design_scores_gemma":[0.0003994314,0.0009287997,0.02789456,0.0001253734,0.00001963975,0.0009289904,0.0001796039,0.000644767,0.9594641,0.003644098,0.005536815,0.0002338699],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898517,0.0003832924,0.005970026,0.0004983708,0.0004526502,0.00009495344,0.000001217929,0.000002459762,0.002745384],"genre_scores_gemma":[0.9695647,0.00006736537,0.02972552,0.00006857108,0.0003520391,0.000001500534,2.94222e-7,0.000007024979,0.0002129821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0339596,"threshold_uncertainty_score":0.3753964,"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."}}