{"id":"W2925086597","doi":"10.1016/j.fsigen.2019.03.017","title":"STRmix™ put to the test: 300 000 non-contributor profiles compared to four-contributor DNA mixtures and the impact of replicates","year":2019,"lang":"en","type":"article","venue":"Forensic Science International Genetics","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nicolet Chartrand Knoll (Canada); Concordia University","funders":"","keywords":"Replicate; Genotyping; Probabilistic logic; Statistics; DNA; Biology; Genetics; Mathematics; Computational biology; Econometrics; Genotype; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009114426,0.0001781619,0.0002113712,0.00009846663,0.0001448293,0.0001361661,0.001154677,0.00006509286,0.00004068174],"category_scores_gemma":[0.00121732,0.00009735944,0.0001176674,0.0003223207,0.0008806709,0.000007275864,0.0006111677,0.00009540946,0.00003253214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004278949,"about_ca_system_score_gemma":0.0002517834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000198791,"about_ca_topic_score_gemma":0.00004456748,"domain_scores_codex":[0.9980955,0.00003864359,0.0003145883,0.000498676,0.0006452349,0.0004074234],"domain_scores_gemma":[0.9980444,0.0001762999,0.000120981,0.0006754617,0.0008072332,0.0001755882],"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":[0.0007217466,0.00007303055,0.06428475,0.00001033023,0.0001634485,0.000001687481,0.0005642716,0.005290751,0.8959095,0.0004871415,0.02207946,0.01041382],"study_design_scores_gemma":[0.001651641,0.001012132,0.2285634,0.00003771974,0.00001893014,0.00004255089,0.0001857596,0.01237778,0.748124,0.0009058257,0.006807062,0.0002732394],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941628,0.0002322974,0.0005762491,0.002804032,0.0003224198,0.001012172,0.0002584464,0.000005068615,0.0006264903],"genre_scores_gemma":[0.9971384,0.0000474921,0.001260776,0.0003817786,0.0002731016,0.00005278826,0.00003026817,0.0000127136,0.0008026676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1642786,"threshold_uncertainty_score":0.3970203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110637715945458,"score_gpt":0.3067370714744874,"score_spread":0.2956732998799416,"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."}}