{"id":"W2911612144","doi":"10.1289/isee.2011.00106","title":"VALIDATING A PHARMACOKINETIC MODEL OF POLYCHLORINATED BIPHENYLS (PCBs) USING BLOOD LEVELS IN CHILDREN FROM BIRTH UP TO 22 MONTHS OF AGE","year":2011,"lang":"en","type":"article","venue":"ISEE Conference Abstracts","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Armand Frappier Museum; Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Physiologically based pharmacokinetic modelling; Cord blood; Medicine; Pharmacokinetics; Spearman's rank correlation coefficient; Rank correlation; Blood sampling; Linear regression; Stepwise regression; Correlation; Cohort; Physiology; Prenatal exposure; Statistics; Pregnancy; Internal medicine; Biology; Mathematics; Gestation","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004813486,0.0002836397,0.0004216951,0.000154515,0.00005750946,0.00001606037,0.0004781909,0.0001090441,0.001691304],"category_scores_gemma":[0.0001220507,0.000307787,0.00005976504,0.0003148664,0.0002062133,0.0003691512,0.0002857622,0.000249839,0.00006027303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001108657,"about_ca_system_score_gemma":0.00007201344,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01328625,"about_ca_topic_score_gemma":0.0002852204,"domain_scores_codex":[0.9974272,0.0001045468,0.0007988646,0.0006629627,0.000458631,0.0005477963],"domain_scores_gemma":[0.9987735,0.00008949787,0.000426044,0.0004350404,0.00002160639,0.0002543504],"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":[0.00005641483,0.0003720302,0.07285126,0.00002496968,0.00004834825,0.0000294144,0.006111871,0.1337126,0.7808931,0.00001850806,0.000004742674,0.005876694],"study_design_scores_gemma":[0.0008888178,0.00006198957,0.6992458,0.0001503972,0.00004849091,0.000002843332,0.0002007672,0.006131142,0.2924863,0.0005022028,0.000003669256,0.0002776291],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947191,0.00001795235,0.001773699,0.00002210813,0.00005143885,0.0006836469,0.0001696828,0.00002577624,0.002536587],"genre_scores_gemma":[0.9939331,0.00002299423,0.005735792,0.0001796209,0.00001505034,0.00001895411,0.00001003646,0.00003461858,0.00004985857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6263945,"threshold_uncertainty_score":0.9999374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09556388854320495,"score_gpt":0.2904890405028069,"score_spread":0.1949251519596019,"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."}}