{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001291761,0.0001715413,0.0001009979,0.0001229896,0.000121527,0.00005910949,0.0005810116,0.00006727899,0.00008323558],"category_scores_gemma":[0.00009747812,0.0001376602,0.00007634248,0.0001400048,0.0003701632,0.000009931019,0.0001878367,0.00005073312,0.00002764855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004155274,"about_ca_system_score_gemma":0.00007472844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004082764,"about_ca_topic_score_gemma":0.00001973534,"domain_scores_codex":[0.9984655,0.000008301474,0.0002414002,0.0004784344,0.0004241717,0.0003821388],"domain_scores_gemma":[0.9993171,0.00001650484,0.00003002742,0.0003349377,0.0001736342,0.0001278148],"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":[0.00001631186,0.00001228986,0.003849112,0.000006201516,0.00001925942,0.000003585287,0.00007133459,0.0007225999,0.9889652,0.000125887,0.0000856124,0.006122661],"study_design_scores_gemma":[0.000348929,0.00008440732,0.04387665,0.00004242858,0.000007564471,0.00006488034,0.00005483568,0.0004173621,0.9502472,0.0001090689,0.004506061,0.0002405716],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9508578,0.0001731321,0.04671703,0.0002916404,0.0008767926,0.0001320452,0.00003035238,0.00002474648,0.0008964632],"genre_scores_gemma":[0.9938546,0.0001849835,0.004678335,0.00008546571,0.0004405666,0.00001719193,0.00000800235,0.00002402939,0.0007068476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04299678,"threshold_uncertainty_score":0.5613622,"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."}}