{"id":"W3084644768","doi":"10.1016/j.forsciint.2020.110506","title":"A threshold LC–MS/MS method for 92 analytes in oral fluid collected with the Quantisal® device","year":2020,"lang":"en","type":"article","venue":"Forensic Science International","topic":"Forensic Toxicology and Drug Analysis","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Nitrazepam; Chromatography; Analyte; Oxazepam; Flunitrazepam; Driving under the influence; Chemistry; Reproducibility; Benzodiazepine; Poison control; Pharmacology; Medicine; Diazepam","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":[0.002486404,0.001665264,0.000830291,0.003560208,0.001122139,0.001365927,0.001370247,0.00291373,0.004205184],"category_scores_gemma":[0.003043423,0.00137785,0.001015197,0.001063378,0.001424084,0.001189256,0.00141781,0.001748163,0.004122745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007271739,"about_ca_system_score_gemma":0.002846137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001131253,"about_ca_topic_score_gemma":0.002217147,"domain_scores_codex":[0.9950998,0.0005010478,0.0004075455,0.001381794,0.002364821,0.0002449476],"domain_scores_gemma":[0.9986607,0.0004703453,0.0002066173,0.0001176642,0.0004204955,0.0001241728],"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":[0.0007020231,0.0001662557,0.004686847,0.0005044249,0.0001168273,0.0002837225,0.0001422276,0.0001603881,0.9579533,0.000624506,0.001934824,0.03272475],"study_design_scores_gemma":[0.0002401969,0.002087645,0.03206602,0.0003360571,0.0003568181,0.00700156,0.0002198148,0.006476205,0.925737,0.001190811,0.02404409,0.0002438122],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5066897,0.04861535,0.3917755,0.002832774,0.003358933,0.003304318,0.01439991,0.01053722,0.0184862],"genre_scores_gemma":[0.6220402,0.00988216,0.3250243,0.005446547,0.0004799655,0.003492825,0.008328835,0.0005762908,0.02472885],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004205184,"threshold_uncertainty_score":0.01406777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.111921777472208,"score_gpt":0.4456587318232813,"score_spread":0.3337369543510733,"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."}}