{"id":"W2067452583","doi":"10.1016/j.fsigen.2010.05.005","title":"Disaster victim investigation recommendations from two simulated mass disaster scenarios utilized for user acceptance testing CODIS 6.0","year":2010,"lang":"en","type":"article","venue":"Forensic Science International Genetics","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Canadian Mounted Police","funders":"","keywords":"Identification (biology); Population; Computer science; Medicine; Biology; Environmental health","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":[0.0004123257,0.0002100467,0.0001421172,0.0001206812,0.0002864438,0.0002319179,0.0007892933,0.000120849,0.0001393796],"category_scores_gemma":[0.00105446,0.0001972138,0.00008600072,0.0003233361,0.0009605758,0.00003348064,0.0002602344,0.0001849038,0.00002715182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003617528,"about_ca_system_score_gemma":0.0002532252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006073818,"about_ca_topic_score_gemma":0.0003382202,"domain_scores_codex":[0.9979134,0.00003006936,0.0003930338,0.0006919999,0.0005444437,0.0004270316],"domain_scores_gemma":[0.9980016,0.0001342966,0.0001636214,0.0005243403,0.0009794967,0.0001966814],"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":[0.00008048707,0.00002730093,0.03152911,0.000003671025,0.00004165577,7.168207e-7,0.0003537118,0.002285077,0.93871,0.000189308,0.001485726,0.02529325],"study_design_scores_gemma":[0.003066162,0.0003419096,0.03286707,0.0000608734,0.0000512841,0.0000161019,0.0008196166,0.2580243,0.6536039,0.007793178,0.04257879,0.0007768997],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826594,0.00003519285,0.01284501,0.00112505,0.001921555,0.0004446059,0.0001992313,0.00002139899,0.0007485469],"genre_scores_gemma":[0.904826,0.00001563464,0.09267129,0.0003937017,0.0007417384,0.00003177446,0.0005670488,0.00002844219,0.0007243619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2851062,"threshold_uncertainty_score":0.8042145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0369685569169403,"score_gpt":0.3446590827672837,"score_spread":0.3076905258503435,"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."}}