{"id":"W2767482636","doi":"10.1016/j.yrtph.2017.10.026","title":"Integration of a plasma protein binding factor to the Chemical-Specific Adjustment Factor (CSAF) for facilitating the estimation of uncertainties in interspecies extrapolations when deriving health-based exposure limits for active pharmaceutical ingredients: Investigation of recent drug datasets","year":2017,"lang":"en","type":"article","venue":"Regulatory Toxicology and Pharmacology","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"BioPhage Pharma (Canada); Université de Montréal","funders":"","keywords":"Toxicokinetics; Toxicodynamics; Toxicology; Drug; Pharmacology; Extrapolation; Chemistry; Toxicity; Pharmacokinetics; Econometrics; Biology; Statistics; Mathematics","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":[0.006453393,0.0008239952,0.0007713028,0.001724141,0.0006295362,0.001803737,0.0009507659,0.001329659,0.002287254],"category_scores_gemma":[0.01897386,0.0004041818,0.001453843,0.00191518,0.000333005,0.001449931,0.0007972129,0.001292592,0.0006092594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009502061,"about_ca_system_score_gemma":0.002047772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01793807,"about_ca_topic_score_gemma":0.01608555,"domain_scores_codex":[0.9978745,0.000556834,0.0001631184,0.000498676,0.0008069692,0.00009993733],"domain_scores_gemma":[0.9935541,0.002758426,0.0006954654,0.0009697916,0.001928485,0.00009372555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001361543,0.0004761045,0.09229474,0.0007720113,0.001842733,0.0003574503,0.0002835112,0.2515137,0.07678363,0.01132218,0.008530401,0.5544619],"study_design_scores_gemma":[0.0001330782,0.0004718316,0.06353007,0.0001132912,0.0006565456,0.0005528061,0.00009093573,0.8169562,0.08317553,0.007798624,0.02629022,0.0002309466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1521002,0.001514617,0.834208,0.0003892592,0.0001791399,0.0002365635,0.003306656,0.003863766,0.004201753],"genre_scores_gemma":[0.5567349,0.0006375285,0.4362223,0.0002390726,0.00007174775,0.0001599707,0.003625902,0.0006148529,0.001693689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01793807,"threshold_uncertainty_score":0.03566736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.066772633683667,"score_gpt":0.3951349081255726,"score_spread":0.3283622744419056,"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."}}