{"id":"W2911908313","doi":"10.1289/isee.2011.01970","title":"USING CROSS-SECTIONAL BIOMONITORING STUDIES TO EXPLORE THE RELATIONSHIP BETWEEN HUMAN BODY BURDEN AND AGE","year":2011,"lang":"en","type":"article","venue":"ISEE Conference Abstracts","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Biomonitoring; Bioaccumulation; Context (archaeology); Cross-sectional study; Population; Environmental health; Demography; Environmental science; Geography; Biology; Ecology; Medicine; Statistics; Mathematics","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":[0.008431821,0.000536384,0.0003679238,0.001534289,0.0001857746,0.0009289189,0.0005175901,0.0006408313,0.001178385],"category_scores_gemma":[0.01395837,0.0003683474,0.001051673,0.001691543,0.0002529296,0.000911858,0.0005853151,0.000419841,0.0002930561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002839107,"about_ca_system_score_gemma":0.0003770273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002436989,"about_ca_topic_score_gemma":0.003416868,"domain_scores_codex":[0.9963451,0.002516522,0.0001962104,0.0006284198,0.0002491899,0.00006457602],"domain_scores_gemma":[0.9858009,0.008429768,0.002965822,0.001683887,0.0009624969,0.0001571422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000221435,0.00009286782,0.9687757,0.0002513728,0.001513892,0.00007417553,0.0001648941,0.004417726,0.003607201,0.0005865851,0.0002261668,0.02006793],"study_design_scores_gemma":[0.00002149733,0.001158315,0.9722539,0.0001193684,0.001112562,0.0005571803,0.0003373894,0.01415389,0.004683272,0.001619584,0.003943154,0.00003978851],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8538069,0.005208605,0.131559,0.0002545335,0.00008141046,0.0004738219,0.004617099,0.0001740547,0.00382463],"genre_scores_gemma":[0.9527911,0.002270546,0.04061593,0.0001751799,0.00004385386,0.0003052329,0.003181373,0.00003213044,0.0005846947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008431821,"threshold_uncertainty_score":0.04459226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4681313141656313,"score_gpt":0.4313074081420023,"score_spread":0.03682390602362895,"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."}}