{"id":"W2999340926","doi":"10.1016/j.forsciint.2020.110147","title":"Validation of the Microreader™ 29Y Prime ID system for forensic use","year":2020,"lang":"en","type":"article","venue":"Forensic Science International","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Microsemi (Canada)","funders":"","keywords":"Genotyping; Microsatellite; Locus (genetics); Forensic genetics; Haplotype; STR analysis; Genetics; Biology; DNA profiling; Y-STR; Forensic science; DNA; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008994771,0.0008583533,0.0009251587,0.002660405,0.001508287,0.002001484,0.001815049,0.001714181,0.02323471],"category_scores_gemma":[0.01240664,0.0005044357,0.0006715152,0.0007950776,0.001230481,0.001704496,0.003039276,0.001034291,0.02298052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008925489,"about_ca_system_score_gemma":0.004447706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001692881,"about_ca_topic_score_gemma":0.001428327,"domain_scores_codex":[0.9936054,0.001050806,0.0004490607,0.001145079,0.00328663,0.0004629826],"domain_scores_gemma":[0.9923248,0.001338494,0.0004433889,0.001302653,0.004289433,0.0003011653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005523868,0.0008534599,0.06885435,0.001545229,0.0002668324,0.00162997,0.001917602,0.003937556,0.3352242,0.02929201,0.09812097,0.4528339],"study_design_scores_gemma":[0.0004313418,0.00182685,0.03722577,0.0005473022,0.000254932,0.00497757,0.0006224307,0.03373726,0.5388833,0.007449422,0.3737604,0.0002833663],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3285908,0.001556052,0.5204461,0.00226147,0.002458089,0.003974196,0.02264458,0.04262755,0.07544111],"genre_scores_gemma":[0.3678409,0.0008385371,0.5649312,0.001620465,0.000332278,0.003285695,0.02343749,0.002832888,0.03488058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02323471,"threshold_uncertainty_score":0.07772779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03456886479382275,"score_gpt":0.2967707576180999,"score_spread":0.2622018928242771,"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."}}