{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004152958,0.0001515756,0.0001301077,0.00002929903,0.000580642,0.00009673354,0.0002087468,0.00006916056,0.0001967255],"category_scores_gemma":[0.0002210411,0.0001170129,0.00003378235,0.00009687553,0.0005654655,0.0004058174,0.000289316,0.0001767628,0.00007665744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000228499,"about_ca_system_score_gemma":0.000009715259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000856124,"about_ca_topic_score_gemma":0.00004320237,"domain_scores_codex":[0.9988567,0.00004956534,0.0002637627,0.0002986071,0.0002462658,0.0002850769],"domain_scores_gemma":[0.9993505,0.0001531729,0.00008089381,0.0002500849,0.00001246188,0.0001528703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006168435,0.00001218972,0.9889337,0.00000762993,0.00001130362,0.000007293587,0.006247957,0.0005137462,0.003964139,0.0001134287,0.00001075375,0.0001716563],"study_design_scores_gemma":[0.0001004012,0.00004890661,0.9908289,0.00001293763,0.00001239574,0.000003471642,0.002598928,0.000002531499,0.001294366,0.004856857,0.00009404275,0.0001462232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951938,0.00002237699,0.00003543382,0.00005063069,0.00008173846,0.0002417251,0.00000368765,0.00002766189,0.004342996],"genre_scores_gemma":[0.9992232,0.000004021438,0.000303466,0.00002221339,0.0001293828,0.00001580162,0.000003650369,0.00001060487,0.0002876997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004743428,"threshold_uncertainty_score":0.4771648,"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."}}