{"id":"W4392626887","doi":"10.1016/j.envres.2024.118606","title":"PBPK modeling to support risk assessment of pyrethroid exposure in French pregnant women","year":2024,"lang":"en","type":"article","venue":"Environmental Research","topic":"Pesticide Exposure and Toxicity","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ministère de la Transition écologique et Solidaire; Ministère de la Culture; Ministère de l'Education Nationale, de l'Enseignement Superieur et de la Recherche; Institut National de la Santé et de la Recherche Médicale; Agence Nationale de la Recherche; Ministero della transizione ecologica; Directed Energy Professional Society; Office Français de la Biodiversité; Etablissement Français du Sang; Socialdepartementet; Ministry of Arts, Culture and Status of Women","keywords":"Deltamethrin; Pyrethroid; Physiologically based pharmacokinetic modelling; Biomonitoring; Cypermethrin; Permethrin; Pregnancy; Medicine; Toxicology; Environmental health; Gestation; Physiology; Pesticide; Pharmacokinetics; Pharmacology; Biology; Chemistry; Environmental chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001506255,0.0001098073,0.0001626668,0.0000551324,0.00009920845,0.00005299723,0.000273431,0.00008100441,0.002232747],"category_scores_gemma":[0.00005362421,0.0000480921,0.00005156555,0.0003656818,0.00008230119,0.0001206596,0.0002705768,0.000432114,0.0001245842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002737974,"about_ca_system_score_gemma":0.00002591905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005137542,"about_ca_topic_score_gemma":0.0004972407,"domain_scores_codex":[0.9978836,0.0002096892,0.0002698572,0.0003951612,0.0007238493,0.0005178867],"domain_scores_gemma":[0.9994575,0.0002511881,0.00001855358,0.0000892602,0.000008193768,0.000175282],"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":[0.00002442652,0.0004841388,0.1634384,0.00002952992,0.00002505413,0.00008546654,0.001493823,0.001059313,0.5843602,0.0000839971,0.0001896962,0.248726],"study_design_scores_gemma":[0.0002288027,0.004164687,0.9575524,0.0001945806,0.000006546267,0.000006395351,0.002082586,0.01595612,0.01043193,0.005591545,0.003441239,0.0003432058],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977254,0.0003029257,0.00004076205,0.0002199244,0.00005547514,0.0002909178,0.0001142816,0.00001890347,0.001231398],"genre_scores_gemma":[0.9988384,0.0002688327,0.0001314581,0.00002019957,0.00008235967,0.00008665011,0.00002720467,0.000001895439,0.0005429456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7941139,"threshold_uncertainty_score":0.9986793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05094602535463289,"score_gpt":0.3295256332262626,"score_spread":0.2785796078716297,"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."}}