{"id":"W964867498","doi":"10.1520/jfs15121j","title":"NIST Mixed Stain Studies #1 and #2: Interlaboratory Comparison of DNA Quantification Practice and Short Tandem Repeat Multiplex Performance with Multiple-Source Samples","year":2001,"lang":"en","type":"article","venue":"Journal of Forensic Sciences","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Multiplex; Microsatellite; DNA profiling; Stain; DNA extraction; STR multiplex system; STR analysis; Typing; Forensic identification; DNA; Computational biology; Chromatography; Multiplex polymerase chain reaction; Biology; Polymerase chain reaction; Chemistry; Genetics; Staining","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":[0.01642245,0.001153321,0.0008691301,0.002777666,0.003058826,0.002460224,0.00177709,0.002101431,0.001742064],"category_scores_gemma":[0.03717751,0.0009428549,0.00105173,0.001944657,0.001923424,0.001080154,0.002241646,0.001056813,0.001281288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002235783,"about_ca_system_score_gemma":0.002545934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009264192,"about_ca_topic_score_gemma":0.02302392,"domain_scores_codex":[0.9717316,0.006620708,0.002860173,0.00401775,0.01436236,0.0004073795],"domain_scores_gemma":[0.96403,0.009750671,0.004697974,0.005784231,0.01496911,0.0007680175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.008134198,0.003647218,0.188285,0.001298261,0.001522249,0.0004381725,0.006682193,0.005442318,0.6583438,0.002602411,0.005627628,0.1179765],"study_design_scores_gemma":[0.0002840325,0.01157794,0.1948753,0.0001556396,0.000848223,0.001055609,0.001220684,0.009174828,0.7614653,0.00103748,0.01799888,0.0003061397],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8979977,0.001503461,0.08216504,0.0004311708,0.0002694952,0.001853871,0.002860547,0.00123573,0.011683],"genre_scores_gemma":[0.8492907,0.0004502848,0.1377642,0.0006517331,0.00008050643,0.001615369,0.003992661,0.0003570491,0.005797516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01642245,"threshold_uncertainty_score":0.08685124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06432166004935468,"score_gpt":0.3645713799035403,"score_spread":0.3002497198541856,"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."}}