{"id":"W4313308278","doi":"10.1089/forensic.2022.29015.editorial","title":"Highlighting the Forensic Impact of ISHI33","year":2022,"lang":"en","type":"article","venue":"Forensic Genomics","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Forensic science; Library science; Forensic identification; Forensic entomology; Download; Identification (biology); History; Computer science; World Wide Web; Archaeology; Biology; Ecology","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":[0.000433781,0.0001562589,0.000175775,0.0000480977,0.0002940814,0.0000176111,0.0004508696,0.00005808082,0.0001335678],"category_scores_gemma":[0.00005700746,0.0001129261,0.0002808471,0.0001678288,0.0002583397,0.000001797,0.0006031992,0.0001835333,0.000008861026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006702031,"about_ca_system_score_gemma":0.0002732788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001642164,"about_ca_topic_score_gemma":0.00004234006,"domain_scores_codex":[0.9987023,0.00009717643,0.0002676082,0.0002931031,0.0002665679,0.0003732011],"domain_scores_gemma":[0.9990392,0.0000283577,0.0001347405,0.0006262707,0.0001017973,0.00006965387],"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":[0.0009083031,0.0002055844,0.01598776,0.00004837797,0.0009106308,0.00002026493,0.001435113,0.03453808,0.6368291,0.00379373,0.2438943,0.06142876],"study_design_scores_gemma":[0.004220732,0.00864493,0.06798847,0.00002049045,0.0002079128,0.0006339705,0.004226175,0.006590159,0.5159028,0.01023696,0.3797213,0.00160611],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959489,0.0007846362,0.0002077626,0.000268791,0.0002529288,0.0002600937,0.0000843497,0.000007109408,0.002185489],"genre_scores_gemma":[0.9976748,0.00006892623,0.0006412237,0.0001442949,0.0002286055,0.00003003292,0.0001540466,0.00003249211,0.001025528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1358269,"threshold_uncertainty_score":0.4604994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01272944350664877,"score_gpt":0.268049530191629,"score_spread":0.2553200866849802,"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."}}