{"id":"W3130354121","doi":"10.1097/01.ede.0000291928.76821.2d","title":"Physiologically-Based Pharmacokinetic Modeling of Persistent Organic Pollutants for Lifetime Exposure Assessment","year":2008,"lang":"en","type":"article","venue":"Epidemiology","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Physiologically based pharmacokinetic modelling; Breast cancer; Hexachlorobenzene; Exposure assessment; Pollutant; Physiology; Breast milk; Breastfeeding; Multiple exposure; Environmental science; Medicine; Environmental health; Pharmacokinetics; Toxicology; Cancer; Chemistry; Internal medicine; Biology; Pathology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000620703,0.0002246334,0.0005358502,0.00005222168,0.0001274949,0.000001696579,0.0002373751,0.0002298768,0.0001124421],"category_scores_gemma":[0.0003221975,0.0001946399,0.0005419051,0.00007680887,0.0001466108,0.000002095437,0.00009571797,0.0001156951,0.000003087021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003421728,"about_ca_system_score_gemma":0.0002021266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001192142,"about_ca_topic_score_gemma":0.000003977538,"domain_scores_codex":[0.9980927,0.0002842679,0.0005724034,0.0005178678,0.00009621325,0.0004365291],"domain_scores_gemma":[0.9989752,0.0001617102,0.0002112798,0.000376394,0.0001546425,0.0001208325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002326544,0.0002438423,0.004860998,0.00004611818,0.0002074705,0.00000271683,0.00002100211,0.07378456,0.9191263,0.00007003336,0.0007263612,0.00067796],"study_design_scores_gemma":[0.008249659,0.01056522,0.0511706,0.00005806562,0.0004509657,0.0001484066,0.0002170543,0.7580579,0.1600398,0.0008540481,0.008697813,0.001490456],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8955795,0.001245831,0.1016127,0.0006932667,0.0001595486,0.0004467389,0.0001001849,0.00001578763,0.0001464816],"genre_scores_gemma":[0.9812904,0.0002866968,0.01614339,0.001663891,0.0002628254,0.00007569732,0.000146646,0.00002529128,0.0001051635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7590864,"threshold_uncertainty_score":0.7937186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06470986546055475,"score_gpt":0.335179240680434,"score_spread":0.2704693752198793,"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."}}