{"id":"W2172130806","doi":"10.1007/s00414-012-0788-1","title":"First all-in-one diagnostic tool for DNA intelligence: genome-wide inference of biogeographic ancestry, appearance, relatedness, and sex with the Identitas v1 Forensic Chip","year":2012,"lang":"en","type":"article","venue":"International Journal of Legal Medicine","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre","funders":"National Institute for Health and Care Research; Wellcome Trust","keywords":"Genetics; Inference; Biology; Genetic genealogy; Forensic science; DNA profiling; Evolutionary biology; DNA; Computer science; Artificial intelligence; Demography; Population","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":[0.006009548,0.001527746,0.001283022,0.002529542,0.001117847,0.002241525,0.001690692,0.001968724,0.006429025],"category_scores_gemma":[0.009824154,0.001023121,0.00158204,0.0008383908,0.001178694,0.0008917591,0.003431045,0.001880937,0.003582057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005227946,"about_ca_system_score_gemma":0.001046058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0014084,"about_ca_topic_score_gemma":0.003485733,"domain_scores_codex":[0.9952934,0.001131781,0.0001937756,0.001412664,0.001611975,0.0003563677],"domain_scores_gemma":[0.9921852,0.003389446,0.0009742976,0.001431468,0.001499376,0.0005202779],"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":[0.002388936,0.0004952119,0.157286,0.001005618,0.00170419,0.001124047,0.002043922,0.009217817,0.4176083,0.005977499,0.02748959,0.373659],"study_design_scores_gemma":[0.0003245188,0.002295157,0.1478034,0.0004614538,0.0012544,0.006432564,0.001065249,0.0722772,0.6525936,0.01002168,0.1049191,0.0005517188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3236869,0.003252244,0.62329,0.001492801,0.0006744935,0.001050868,0.02259372,0.01084448,0.01311459],"genre_scores_gemma":[0.4365115,0.0008820107,0.5360429,0.001444864,0.0001770655,0.001238975,0.01437649,0.001206655,0.008119472],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006429025,"threshold_uncertainty_score":0.03178191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02898811773003345,"score_gpt":0.318276682230783,"score_spread":0.2892885645007496,"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."}}