{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000917147,0.0005516607,0.0004993549,0.0002620014,0.0002589658,0.0004973737,0.0005721704,0.000785597,0.0009668947],"category_scores_gemma":[0.00289326,0.0003683397,0.0009698042,0.0002511899,0.0003358728,0.0002915201,0.0003405262,0.0005885479,0.0002205309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105707,"about_ca_system_score_gemma":0.001739126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03715368,"about_ca_topic_score_gemma":0.01362162,"domain_scores_codex":[0.9996797,0.0001166557,0.00002055693,0.00009113051,0.00004316758,0.00004896312],"domain_scores_gemma":[0.9986828,0.0009124198,0.0001473783,0.00006201801,0.0001704314,0.00002492945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008912086,0.00003917593,0.02968116,0.00003342332,0.00004838901,0.00009991911,0.0000358845,0.9653162,0.001496585,0.000166129,0.00007247327,0.002921525],"study_design_scores_gemma":[0.00003733368,0.0003453736,0.03050232,0.00002135844,0.00008314266,0.0001453308,0.00006102148,0.9649154,0.002924047,0.0003419489,0.0006007426,0.00002191609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9587417,0.0001458554,0.03909886,0.0000782378,0.00001209628,0.00005200709,0.000958258,0.00009003349,0.0008229103],"genre_scores_gemma":[0.989334,0.0001545298,0.008650365,0.00001807335,0.000003208341,0.00009062989,0.001026795,0.00001701046,0.000705398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03715368,"threshold_uncertainty_score":0.07387483,"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."}}