{"id":"W1973165085","doi":"10.1080/15376520490429382","title":"Incorporation of Pharmacokinetic and Pharmacodynamic Data into Risk Assessments","year":2004,"lang":"en","type":"article","venue":"Toxicology Mechanisms and Methods","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Physiologically based pharmacokinetic modelling; In silico; Pharmacokinetics; Pharmacology; Pharmacodynamics; Risk assessment; Computational biology; Medicine; Chemistry; Biology; Computer science; Biochemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003515044,0.0003821517,0.0006206604,0.0002714387,0.0003357118,0.00002043639,0.0005393539,0.0004200568,0.0002803931],"category_scores_gemma":[0.0001648882,0.0003693765,0.00005903835,0.0002952355,0.0004277319,0.0002543306,0.0007861861,0.0008277355,0.000008727002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004867867,"about_ca_system_score_gemma":0.0001737019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007314947,"about_ca_topic_score_gemma":0.00002053167,"domain_scores_codex":[0.996195,0.001707487,0.0006680173,0.0007839428,0.000181826,0.0004637011],"domain_scores_gemma":[0.9980227,0.0004980352,0.0005030797,0.000451373,0.0001117111,0.0004130781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001716817,0.0002447143,0.0001841875,0.00006253718,0.0002205191,0.0000125759,0.0003415148,0.0004648977,0.6522912,0.009976117,0.0000378557,0.3359922],"study_design_scores_gemma":[0.00930626,0.0006195757,0.001940933,0.00002145717,0.001824499,0.0001063992,0.000271031,0.05502747,0.7171878,0.1827259,0.0302914,0.0006772536],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7057921,0.006250326,0.2831959,0.0004465981,0.002138602,0.0007904938,0.0001936241,0.00008911813,0.001103278],"genre_scores_gemma":[0.6806244,0.009362879,0.3084322,0.001184032,0.0001441141,0.00005563065,0.00007214194,0.00004076718,0.00008388418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.335315,"threshold_uncertainty_score":0.9998758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1472903305135723,"score_gpt":0.5406335177628201,"score_spread":0.3933431872492478,"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."}}