{"id":"W4322766923","doi":"10.1089/forensic.2023.0004","title":"The Idaho Student Homicides and the Future of Forensic Genetic Genealogy","year":2023,"lang":"en","type":"article","venue":"Forensic Genomics","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Forensic science; Forensic genetics; Genealogy; Criminology; History; Forensic engineering; Psychology; Engineering; Archaeology; Genetics; Biology; Microsatellite; Gene","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":[0.005286407,0.0002596717,0.0003907664,0.001923631,0.003452086,0.0037658,0.0005992776,0.003179711,0.00689646],"category_scores_gemma":[0.009524919,0.000165375,0.0001801319,0.001004964,0.009508939,0.003673149,0.002022677,0.003488143,0.0005171332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004461322,"about_ca_system_score_gemma":0.007000301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02135842,"about_ca_topic_score_gemma":0.03610676,"domain_scores_codex":[0.9990466,0.0005230434,0.00003036361,0.00009893895,0.0001549509,0.0001460301],"domain_scores_gemma":[0.995932,0.002099686,0.0003759694,0.0002851289,0.0006584186,0.0006487247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003041819,0.0002190697,0.06748419,0.0004213029,0.00005441419,0.001438763,0.01115763,0.0008058483,0.0007310671,0.4104605,0.09454169,0.4123814],"study_design_scores_gemma":[0.0000351167,0.00009510889,0.05566417,0.003001698,0.00005880599,0.002624124,0.0516502,0.0009377878,0.0006021773,0.4290213,0.4562035,0.0001059593],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1022267,0.1243618,0.001362229,0.6630208,0.003712133,0.0000175851,0.0005002305,0.00003837021,0.1047601],"genre_scores_gemma":[0.8292509,0.1122291,0.002406723,0.03803281,0.003480128,0.00004314459,0.0002080133,0.00001925577,0.01432996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02135842,"threshold_uncertainty_score":0.04246825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007442039944801285,"score_gpt":0.2569236969381858,"score_spread":0.2494816569933846,"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."}}