{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009284899,0.001802076,0.001833541,0.001253735,0.002061255,0.00194781,0.001238509,0.00398064,0.01228878],"category_scores_gemma":[0.03334849,0.001138093,0.002075827,0.001165963,0.002302485,0.002124472,0.001614591,0.004606701,0.002659592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009945163,"about_ca_system_score_gemma":0.0007924507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003627709,"about_ca_topic_score_gemma":0.004316481,"domain_scores_codex":[0.9862236,0.003639905,0.001302254,0.003971993,0.003911509,0.0009507099],"domain_scores_gemma":[0.9676707,0.01871918,0.001388542,0.004677837,0.006427666,0.001115939],"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":[0.04897944,0.01103994,0.1416583,0.001745527,0.003524243,0.002258734,0.002729575,0.009391289,0.6415864,0.002575676,0.01239489,0.1221159],"study_design_scores_gemma":[0.000791646,0.02048039,0.2775165,0.0003151227,0.002712991,0.003047713,0.004361619,0.06233754,0.612366,0.003858408,0.01148164,0.0007304533],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9423235,0.0006608115,0.04417088,0.0007599107,0.002908959,0.0006548151,0.002360792,0.001472898,0.004687482],"genre_scores_gemma":[0.9242157,0.0002330604,0.05178023,0.001190839,0.0002149159,0.0008027722,0.005756306,0.0006872639,0.01511885],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01228878,"threshold_uncertainty_score":0.0491038,"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."}}