{"id":"W4296935099","doi":"10.1016/j.fsigss.2022.09.007","title":"Differentiation of vaginal cells from epidermal cells using morphological and autofluorescence properties: Implications for sexual assault casework involving digital penetration","year":2022,"lang":"en","type":"article","venue":"Forensic science international. Genetics supplement series","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Advantage Forensics (Canada)","funders":"Center for Innovative Technology","keywords":"Autofluorescence; Penetration (warfare); Sexual assault; Sexual differentiation; Biology; Medicine; Poison control; Fluorescence; Medical emergency; Physics; Human factors and ergonomics; Genetics; Mathematics; Optics","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":[0.0005082733,0.0001555822,0.0002111601,0.0003856446,0.0005723455,0.00111821,0.0002742161,0.0004752793,0.002184415],"category_scores_gemma":[0.0006910435,0.0001330805,0.0002285367,0.0003951342,0.0004615126,0.0005277296,0.0003269394,0.0007352676,0.0005692721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004135476,"about_ca_system_score_gemma":0.0003753586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001679067,"about_ca_topic_score_gemma":0.003571478,"domain_scores_codex":[0.9998314,0.00003540684,0.00001810135,0.00002546252,0.00005800259,0.000031517],"domain_scores_gemma":[0.999385,0.0002079193,0.00007975636,0.00007613287,0.0001774494,0.00007386887],"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":[0.0002070902,0.00007532381,0.008419825,0.000164019,0.000006824035,0.0007566656,0.0003930813,0.0001252215,0.9446607,0.001560234,0.0003704502,0.04326057],"study_design_scores_gemma":[0.00001816989,0.0004983789,0.1094221,0.0001977765,0.00005363922,0.007109761,0.003869366,0.001502202,0.8417457,0.001522274,0.03400691,0.00005371463],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9388921,0.009759525,0.02164086,0.00184795,0.0003233481,0.0001247829,0.0005724163,0.0001218156,0.02671723],"genre_scores_gemma":[0.9573508,0.01127539,0.01997215,0.0002722784,0.00005250392,0.00006006954,0.0003818651,0.00005017543,0.01058484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002184415,"threshold_uncertainty_score":0.007307589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02791866841238071,"score_gpt":0.2838415585982235,"score_spread":0.2559228901858428,"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."}}