{"id":"W1887357633","doi":"10.1002/9780470744307.gat009","title":"Evaluation of Toxicological Interactions for the Dose‐Response Assessment of Chemical Mixtures","year":2009,"lang":"en","type":"other","venue":"General, Applied and Systems Toxicology","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Physiologically based pharmacokinetic modelling; Weighting; Internal dose; Biological system; Biochemical engineering; Chemistry; Computer science; Pharmacology; Pharmacokinetics; Medicine; Engineering; Biology; Radiochemistry","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":[0.002078692,0.0007911583,0.0005816284,0.001411458,0.0003580642,0.001009325,0.0007192821,0.0005172613,0.003971357],"category_scores_gemma":[0.001544965,0.0002413384,0.0006133436,0.001015168,0.0002760484,0.0005189664,0.0007379484,0.0004459505,0.0008257606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001185225,"about_ca_system_score_gemma":0.0007524195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001777296,"about_ca_topic_score_gemma":0.003080148,"domain_scores_codex":[0.9979254,0.0005423998,0.00006246691,0.0001163738,0.001315093,0.00003818252],"domain_scores_gemma":[0.9994073,0.0002782983,0.0001200139,0.00004327278,0.0001353776,0.00001580134],"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":[0.0007350203,0.0004871786,0.005068968,0.001235782,0.0002591088,0.0002943677,0.0001065626,0.2392959,0.5662018,0.007919357,0.001817454,0.1765785],"study_design_scores_gemma":[0.00006752934,0.003173129,0.01359288,0.0001121383,0.0003681155,0.0007587899,0.0001075109,0.3396254,0.6087628,0.006485383,0.02685792,0.00008840668],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3376797,0.008369532,0.5814807,0.0005074108,0.00009680374,0.001279021,0.001942571,0.001067625,0.06757659],"genre_scores_gemma":[0.7757358,0.009676452,0.1832485,0.000187765,0.00004433585,0.0006944202,0.001087146,0.0001765388,0.02914919],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003971357,"threshold_uncertainty_score":0.01328558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03133208279414428,"score_gpt":0.3906444145258264,"score_spread":0.3593123317316821,"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."}}