{"id":"W2377743252","doi":"10.1016/j.fsigen.2016.05.004","title":"DNA transfer during laundering may yield complete genetic profiles","year":2016,"lang":"en","type":"article","venue":"Forensic Science International Genetics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Quebec Rehabilitation Research Network; McGill University; Natural Sciences and Engineering Research Council of Canada; École de Technologie Supérieure","funders":"","keywords":"Yield (engineering); Computational biology; Biology; Materials science","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":[0.0007398951,0.000722967,0.0006741224,0.0005269832,0.0005365783,0.001105332,0.0004360072,0.00132369,0.003364172],"category_scores_gemma":[0.001133868,0.0004523038,0.0007408695,0.000354614,0.00043476,0.001107839,0.0009198331,0.001759577,0.002573826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003846386,"about_ca_system_score_gemma":0.0003910428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004227291,"about_ca_topic_score_gemma":0.001144786,"domain_scores_codex":[0.9996336,0.00005858098,0.00003287876,0.0001006008,0.00009372595,0.00008058382],"domain_scores_gemma":[0.9987509,0.0004122563,0.0002689851,0.0003505512,0.0001200727,0.00009710996],"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":[0.00005934833,0.00002499303,0.0003269994,0.0000243205,0.000004827386,0.00008674262,0.00003904423,0.000128696,0.9951696,0.0001613329,0.00003934843,0.003934731],"study_design_scores_gemma":[0.000002248955,0.00006434933,0.00167761,0.000004597206,0.00001128147,0.0001210599,0.00002938574,0.0005541568,0.9960865,0.0001500677,0.001288506,0.00001028992],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8406237,0.0006718946,0.1493037,0.0003725915,0.0002209027,0.0001870958,0.001005135,0.001983396,0.005631695],"genre_scores_gemma":[0.9227703,0.0006517707,0.05599261,0.0001809876,0.00003282037,0.0001206392,0.002476176,0.0007141663,0.01706071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003364172,"threshold_uncertainty_score":0.01125431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01742440801061774,"score_gpt":0.2854325456948093,"score_spread":0.2680081376841916,"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."}}