{"id":"W2887336944","doi":"10.1016/j.toxlet.2018.08.008","title":"Kinetic time courses of lambda-cyhalothrin metabolites after dermal application of Matador EC 120 in volunteers","year":2018,"lang":"en","type":"article","venue":"Toxicology Letters","topic":"Pesticide Exposure and Toxicity","field":"Agricultural and Biological Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Cyhalothrin; Pyrethroid; Urine; Toxicokinetics; Chemistry; Biomonitoring; Clearance; Absorption (acoustics); Metabolite; Toxicology; Chromatography; Metabolism; Pesticide; Environmental chemistry; Biochemistry; Biology; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001650544,0.0001134618,0.0002630152,0.00003351954,0.00002486384,0.000005033162,0.0002028227,0.0001013916,0.0006982064],"category_scores_gemma":[0.00004041977,0.00005435935,0.00005894934,0.0002298156,0.0003784869,0.00006693113,0.00004933801,0.00007686902,0.00007349425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000132882,"about_ca_system_score_gemma":0.000006453315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000347937,"about_ca_topic_score_gemma":0.0009335084,"domain_scores_codex":[0.9990466,0.00009103489,0.000294603,0.0002136655,0.0001131306,0.0002409571],"domain_scores_gemma":[0.999568,0.0001541077,0.0001152653,0.00007543598,0.00004456055,0.00004258792],"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":[0.00007301526,0.00009949498,0.06528413,0.000006101406,0.00001390713,0.000003411937,0.00006552412,0.000005845616,0.9310117,0.00008971613,0.0003209768,0.003026112],"study_design_scores_gemma":[0.0001687434,0.0002480216,0.8139094,0.000008847951,0.00002257539,0.000005057496,0.00001951214,0.0001344451,0.1839828,0.00009639639,0.001299468,0.0001048083],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972331,0.00009333214,0.00002660496,0.002079061,0.00005157735,0.000175753,0.00003685013,0.00002087626,0.0002828697],"genre_scores_gemma":[0.9981186,0.000004348915,0.0002362252,0.001411093,0.0001443434,0.00002983447,0.00001719758,0.000001218771,0.00003716232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7486252,"threshold_uncertainty_score":0.764487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006668995414922054,"score_gpt":0.2132522393897296,"score_spread":0.2065832439748075,"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."}}