{"id":"W3008556760","doi":"","title":"Evaluation and implementation od the rapidhit (TM) instrument for rapid human DNA identification","year":2017,"lang":"en","type":"article","venue":"Forensic Science International","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sciencetech (Canada)","funders":"","keywords":"Identification (biology); DNA; DNA profiling; Computational biology; Computer science; Medical physics; Medicine; Biology; Genetics","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":[0.02018004,0.000923342,0.0005974681,0.001252727,0.001175708,0.001869878,0.003186457,0.002513435,0.003730118],"category_scores_gemma":[0.01200127,0.0005734031,0.0006548542,0.0006329097,0.001057181,0.001495939,0.00222054,0.001076559,0.001245006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001267656,"about_ca_system_score_gemma":0.004705236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003242335,"about_ca_topic_score_gemma":0.003800842,"domain_scores_codex":[0.9912667,0.002648265,0.0004110955,0.00102185,0.004072721,0.0005793954],"domain_scores_gemma":[0.9931699,0.001627231,0.0003399323,0.0006455315,0.003935684,0.0002817752],"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":[0.003633944,0.001520044,0.04859447,0.001362362,0.0002445929,0.0004001009,0.001970749,0.007521299,0.4851814,0.006339784,0.007059393,0.4361719],"study_design_scores_gemma":[0.0002660938,0.006209788,0.02535533,0.0003060815,0.0003102801,0.001545199,0.001212671,0.05391856,0.8652129,0.001540143,0.04391462,0.0002084668],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5522441,0.002591855,0.4225528,0.001599452,0.0003824456,0.004278854,0.002273592,0.005472764,0.008604125],"genre_scores_gemma":[0.4217182,0.001080488,0.5659674,0.000831135,0.00005964697,0.001447236,0.002334594,0.0005198571,0.00604148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02018004,"threshold_uncertainty_score":0.1067235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05556155118699622,"score_gpt":0.4223109846285062,"score_spread":0.36674943344151,"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."}}