{"id":"W2036887231","doi":"10.1080/15459620500524987","title":"Biological Exposure Indicators: Quantification of Biological Variability Using Toxicokinetic Modeling","year":2006,"lang":"en","type":"article","venue":"Journal of Occupational and Environmental Hygiene","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut de recherche Robert-Sauvé en santé et en sécurité du travail","funders":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Toxicokinetics; Environmental science; Environmental chemistry; Toxicology; Chemistry; Biology; Pharmacology; Pharmacokinetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000824528,0.0001099998,0.0002099793,0.00005933397,0.0001059664,0.000008367296,0.0001112545,0.0001148608,0.0003591878],"category_scores_gemma":[0.00006245647,0.00008047104,0.00006506544,0.000109682,0.0002957122,0.0001876564,0.00007601185,0.0001272748,0.000004800124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000141831,"about_ca_system_score_gemma":0.00001651699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006102767,"about_ca_topic_score_gemma":0.000001769314,"domain_scores_codex":[0.9985546,0.0001416025,0.0006568181,0.0001670789,0.0003183259,0.0001615375],"domain_scores_gemma":[0.9992977,0.00009633712,0.0003998255,0.00009371838,0.000005823073,0.0001065804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000248266,0.0005091196,0.8973631,0.0000113436,0.000008378477,0.000002270056,0.00008168599,0.04454868,0.05283748,0.0002296281,0.00003386677,0.00412618],"study_design_scores_gemma":[0.0003480218,0.0003350691,0.9750264,0.00001464858,0.00001223103,0.00004789507,0.0000881114,0.02041903,0.001639496,0.001808516,0.0001572736,0.0001033257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978383,0.0001203709,0.02114948,0.0001095063,0.00004809527,0.00008343991,0.0000294521,0.000003622536,0.00007302735],"genre_scores_gemma":[0.9930845,0.00007939952,0.006631278,0.00009787225,0.00007590861,0.0000010533,0.00002136323,0.000004097006,0.000004531998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07766329,"threshold_uncertainty_score":0.3932855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08831268316533648,"score_gpt":0.3148984715463499,"score_spread":0.2265857883810135,"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."}}