{"id":"W4389001414","doi":"10.1016/j.fsigen.2023.102980","title":"Mixture detection with Demixtify","year":2023,"lang":"en","type":"article","venue":"Forensic Science International Genetics","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computational biology; In silico; Single-nucleotide polymorphism; Microsatellite; Computer science; Biology; Genetics; Genotype; Gene; Allele","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":[0.0001743501,0.00008665447,0.00004725055,0.0001074409,0.0001315178,0.00003326938,0.0003843511,0.00007464903,0.000009628835],"category_scores_gemma":[0.00004656753,0.00007230676,0.00003146869,0.0004248687,0.0003718204,0.000003494324,0.000143016,0.00005997654,0.00003200164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001661589,"about_ca_system_score_gemma":0.00006473344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004247686,"about_ca_topic_score_gemma":0.00003083794,"domain_scores_codex":[0.9991338,0.000007941608,0.0001003981,0.0003327182,0.0002318473,0.0001933463],"domain_scores_gemma":[0.9994148,0.000004622514,0.00004784987,0.0002637973,0.0002108292,0.00005808049],"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":[0.00001350337,0.000009452339,0.002071134,9.430523e-7,0.00001202358,0.00000194536,0.00001265525,0.000247051,0.9783748,0.0004038585,0.001178366,0.0176743],"study_design_scores_gemma":[0.0001230995,0.0001573616,0.01011307,0.000004590643,0.000005340154,0.00004519034,0.00002590108,0.001865581,0.9131765,0.0006126387,0.07374392,0.0001267434],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9628103,0.00003485327,0.03359184,0.0003976284,0.0002433605,0.0001396693,0.00001453987,0.00006255949,0.002705268],"genre_scores_gemma":[0.9922016,0.00009589387,0.006525991,0.0002877119,0.0001673466,0.00004484909,0.00009752678,0.00001122739,0.0005678503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07256556,"threshold_uncertainty_score":0.2948584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009412537014549185,"score_gpt":0.2837479664072045,"score_spread":0.2743354293926553,"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."}}