{"id":"W1800480040","doi":"10.1016/j.fsigen.2015.08.003","title":"52 additional reference population samples for the 55 AISNP panel","year":2015,"lang":"en","type":"article","venue":"Forensic Science International Genetics","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Oak Ridge Institute for Science and Education; Office of Justice Programs; National Natural Science Foundation of China; U.S. Department of Energy; Federal Bureau of Investigation; National Institute of Justice; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; U.S. Department of Justice; National Science Foundation","keywords":"Population; Massive parallel sequencing; Allele frequency; Single-nucleotide polymorphism; Biology; Inference; Allele; Genetics; Computational biology; Statistics; Computer science; DNA sequencing; Genotype; Mathematics; Gene; Demography; Artificial intelligence","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":[0.0002520226,0.0001017956,0.00006461152,0.00005953794,0.0002269018,0.00009065885,0.0005635381,0.00007018504,0.0002164211],"category_scores_gemma":[0.0004137295,0.0000809579,0.00005037653,0.0001281663,0.0002971766,0.0000117388,0.0001611493,0.00005107424,0.00002095303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003412391,"about_ca_system_score_gemma":0.0001566427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003458766,"about_ca_topic_score_gemma":0.00008512357,"domain_scores_codex":[0.9988415,0.00001324446,0.0001598034,0.0002909293,0.0005132644,0.0001812814],"domain_scores_gemma":[0.9988904,0.00004205868,0.00009722378,0.0002319594,0.0006426882,0.00009566951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008669849,0.0001775368,0.132752,0.00002445337,0.0003057532,0.000003199547,0.00107801,0.06997801,0.05781567,0.04566377,0.5567303,0.1346043],"study_design_scores_gemma":[0.0008140543,0.0002398078,0.2348124,0.00001299163,0.0000360692,0.0000437431,0.0005120534,0.007690509,0.01786155,0.01203199,0.7255934,0.0003513366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699366,0.000228032,0.01906754,0.001431673,0.003115878,0.0004580624,0.002513953,0.00002491967,0.00322332],"genre_scores_gemma":[0.9831398,0.00002399746,0.01292586,0.0004706463,0.0005444954,0.00001926636,0.00208879,0.000007202051,0.0007799177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1688632,"threshold_uncertainty_score":0.3301367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1034116105127397,"score_gpt":0.3093091825997479,"score_spread":0.2058975720870082,"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."}}