{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006216132,0.00010854,0.0001910848,0.0001343574,0.00003159868,0.00001534925,0.0003129456,0.00006202002,0.00001139762],"category_scores_gemma":[0.0007591168,0.00006643739,0.0000456479,0.0001157131,0.0004764743,0.000021308,0.00006221606,0.0001605568,5.644376e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001211192,"about_ca_system_score_gemma":0.00006602296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006851908,"about_ca_topic_score_gemma":0.0001106129,"domain_scores_codex":[0.9988619,0.00003274117,0.0003780265,0.0001207531,0.0004124413,0.0001941228],"domain_scores_gemma":[0.9989812,0.0002229355,0.0002425927,0.0001240984,0.0003552146,0.00007399892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001005887,0.000254387,0.9610891,0.000151079,0.000971071,0.00004015894,0.0009577813,0.0006377065,0.02006048,0.001786277,0.001472901,0.01157315],"study_design_scores_gemma":[0.003398187,0.003587872,0.9331991,0.001199083,0.0001937073,0.0004995569,0.001084674,0.0001928077,0.02735507,0.001674702,0.02727842,0.0003368329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810186,0.007684942,0.00737413,0.003368928,0.0002618268,0.0001888193,0.000008644005,0.000001165926,0.00009295809],"genre_scores_gemma":[0.996222,0.002641163,0.0003149892,0.0002067998,0.0005204286,0.000009972799,0.0000158915,0.000009458628,0.00005934933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02789004,"threshold_uncertainty_score":0.2709238,"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."}}