{"id":"W3217418418","doi":"10.1101/2021.11.25.470033","title":"Secondary DNA transfer on denim using a human blood analogue","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Denim; DNA; Genotype; Microsatellite; DNA profiling; DNA extraction; Chemistry; Materials science; Biology; Genetics; Allele; Composite material; Polymerase chain reaction; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000320645,0.0002870409,0.0002197985,0.0002370621,0.0001807664,0.0004578917,0.0002496487,0.0003944756,0.002909344],"category_scores_gemma":[0.0006685804,0.0001311878,0.0001485216,0.0002529904,0.0002307466,0.0001333789,0.0003504675,0.0003618073,0.0006846208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001545214,"about_ca_system_score_gemma":0.00007977572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006689407,"about_ca_topic_score_gemma":0.0005486081,"domain_scores_codex":[0.9995735,0.0001037077,0.00002009832,0.0001433734,0.0001023039,0.00005684273],"domain_scores_gemma":[0.9996516,0.0001228155,0.00007297511,0.00005046265,0.00006701006,0.00003524662],"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":[0.0000855962,0.00002186919,0.0006464579,0.00003288099,0.000003993831,0.00005782451,0.00008778129,0.00004954674,0.9961849,0.000034697,0.00003582221,0.002758645],"study_design_scores_gemma":[0.00000309516,0.0004375568,0.00591304,0.000009636694,0.00001109452,0.0002095687,0.0001174066,0.0005506676,0.9907165,0.00003732751,0.001989149,0.000004875179],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873092,0.0008489042,0.009570034,0.00006950609,0.00003616104,0.0000420967,0.0001792644,0.00006473986,0.001880174],"genre_scores_gemma":[0.9885973,0.0003698998,0.005627723,0.0000924642,0.0000120763,0.00003257754,0.000422535,0.00003450384,0.004810896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002909344,"threshold_uncertainty_score":0.009732664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01857823836328965,"score_gpt":0.2059992338344146,"score_spread":0.187420995471125,"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."}}