{"id":"W2128667707","doi":"10.1093/annhyg/mes011","title":"A Detailed Urinary Excretion Time Course Study of Captan and Folpet Biomarkers in Workers for the Estimation of Dose, Main Route-of-Entry and Most Appropriate Sampling and Analysis Strategies","year":2012,"lang":"en","type":"article","venue":"The Annals of Occupational Hygiene","topic":"Pesticide Exposure and Toxicity","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail; Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Captan; Urine; Excretion; Biomonitoring; Chemistry; Urinary system; Urine collection device; Toxicology; Animal science; Fungicide; Medicine; Internal medicine; Biology; Environmental chemistry; Biochemistry; Horticulture","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":[0.0004092004,0.0004115955,0.0004367726,0.0002323882,0.0002167047,0.0004087591,0.0002280557,0.0005178531,0.0007834014],"category_scores_gemma":[0.0005651636,0.0002000386,0.0004485148,0.000349686,0.000146804,0.0001920912,0.0001869188,0.0002723324,0.000278388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002440796,"about_ca_system_score_gemma":0.0003878392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003125612,"about_ca_topic_score_gemma":0.004639249,"domain_scores_codex":[0.9997377,0.00004010811,0.00001008612,0.0001202699,0.00006537034,0.00002635393],"domain_scores_gemma":[0.9997224,0.00006630207,0.00006929617,0.00005023564,0.00007228499,0.00001939629],"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":[0.0006120984,0.0002236787,0.04973346,0.0002416346,0.00009155616,0.0001493693,0.0002512205,0.002862294,0.9293769,0.00009604891,0.000173727,0.01618795],"study_design_scores_gemma":[0.00003391409,0.006178288,0.4376617,0.0000631689,0.0003151372,0.0008111988,0.0006549111,0.02842543,0.5207886,0.0004397988,0.004532807,0.00009505801],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772842,0.0008292627,0.02046917,0.0000336278,0.00001253914,0.00006835424,0.0007265863,0.00008115989,0.0004950153],"genre_scores_gemma":[0.9869883,0.0004352595,0.01017426,0.00003904706,0.000008079563,0.00008127512,0.0007570969,0.00002189093,0.001494701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003125612,"threshold_uncertainty_score":0.006214857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07691247117565352,"score_gpt":0.3372480299981733,"score_spread":0.2603355588225197,"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."}}