{"id":"W3010205432","doi":"10.1002/elps.201900360","title":"DNA quantitation and degradation assessment: a quantitative PCR protocol designed for small forensic genetics laboratories","year":2020,"lang":"en","type":"article","venue":"Electrophoresis","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Surgical Specialties (Canada)","funders":"","keywords":"Repeatability; Reproducibility; Biology; Polymerase chain reaction; Forensic genetics; Chromatography; STR analysis; Population; Molecular biology; Genetics; Computational biology; Microsatellite; Allele; Chemistry; Medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000103546,0.0001499027,0.0001324274,0.00002755508,0.0001393992,0.00003649137,0.0001051528,0.0001317281,0.000003085397],"category_scores_gemma":[0.0001213878,0.0001444925,0.00004991108,0.0001629855,0.00007387654,0.000003747757,0.00003757527,0.00005671507,8.158333e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000118156,"about_ca_system_score_gemma":0.0001077918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005160004,"about_ca_topic_score_gemma":0.00003602648,"domain_scores_codex":[0.9991161,0.0000700804,0.0001871686,0.0003730738,0.00006165407,0.0001919734],"domain_scores_gemma":[0.9994275,0.00002634945,0.0001120548,0.0001567973,0.0002062422,0.00007105973],"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":[0.0002267345,0.00002459508,0.0004402527,0.00003586615,0.00004235481,3.757517e-7,0.00002985651,0.000003295198,0.9837995,0.01120889,0.001703963,0.002484338],"study_design_scores_gemma":[0.0008225027,0.002182297,0.001016952,0.000005494607,0.00004085964,0.000002031907,0.00004478692,0.0008352879,0.9619102,0.00137749,0.03154144,0.0002206439],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2624972,0.0002772184,0.7133753,0.001164031,0.00001171887,0.02244628,0.000071289,0.00004681006,0.0001101688],"genre_scores_gemma":[0.4621158,0.000238156,0.4583398,0.001145281,0.0001541315,0.07713431,0.0007234036,0.00006812413,0.0000809697],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2550354,"threshold_uncertainty_score":0.5892233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02775310121688599,"score_gpt":0.3212072412524613,"score_spread":0.2934541400355752,"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."}}