{"id":"W2156407934","doi":"10.1002/etc.5620220104","title":"Development and application of a generalized physiologically based pharmacokinetic model for multiple environmental contaminants","year":2003,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Physiologically based pharmacokinetic modelling; Phthalate; Environmental chemistry; Dibutyl phthalate; Contamination; Chemistry; Environmental science; Biochemical engineering; Pharmacokinetics; Pharmacology; Ecology; Biology; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004492795,0.0006192541,0.0006704121,0.0002974643,0.0003636792,0.0006900412,0.001413341,0.001697152,0.002267901],"category_scores_gemma":[0.001035565,0.0004043892,0.001023527,0.0003598714,0.0004367863,0.0005493441,0.0005831542,0.0009494757,0.0004372583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006320344,"about_ca_system_score_gemma":0.00192396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01223465,"about_ca_topic_score_gemma":0.006393774,"domain_scores_codex":[0.9997923,0.00006956926,0.0000103609,0.00004556063,0.00005578996,0.00002640579],"domain_scores_gemma":[0.9997637,0.0001188431,0.00002898002,0.00001778158,0.00005424351,0.00001658023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001701384,0.00001477773,0.0002588646,0.0000168962,0.00001055839,0.00006038529,0.00001616298,0.9930032,0.001386843,0.003153254,0.000149515,0.00191246],"study_design_scores_gemma":[0.00001148883,0.00002399024,0.0001122893,0.000002294514,0.000008127902,0.00001888762,0.000004223768,0.9977134,0.0002844778,0.001153825,0.0006614537,0.000005396777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09237348,0.0002792858,0.8905807,0.000667845,0.00008120156,0.0002234205,0.000754168,0.0005818789,0.01445801],"genre_scores_gemma":[0.8723225,0.000566829,0.1090131,0.0002134394,0.00004746481,0.0009974502,0.0006211708,0.0001112362,0.01610689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01223465,"threshold_uncertainty_score":0.02432686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008871128676092585,"score_gpt":0.2726645123137956,"score_spread":0.263793383637703,"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."}}