{"id":"W3203673033","doi":"10.1016/s0378-4274(21)00797-9","title":"Concurrent exposure to multiple chemicals in the Canadian population: Biomonitoring data from the Canadian Health Measures Survey","year":2021,"lang":"en","type":"article","venue":"Toxicology Letters","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Health Canada","funders":"","keywords":"Biomonitoring; Environmental health; Population; Environmental science; Environmental chemistry; Medicine; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009139425,0.0005033032,0.0005356983,0.001974729,0.001628665,0.001031404,0.001594634,0.0007556241,0.002083433],"category_scores_gemma":[0.002425949,0.000477886,0.0009259215,0.007909058,0.0004165141,0.0004613266,0.0009847076,0.0007989556,0.0002474501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01569057,"about_ca_system_score_gemma":0.02805768,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9967062,"about_ca_topic_score_gemma":0.9978858,"domain_scores_codex":[0.9982051,0.00008208441,0.0001037286,0.0001761112,0.001193469,0.0002394807],"domain_scores_gemma":[0.998181,0.0000786342,0.0002443635,0.00007244619,0.001180264,0.000243253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001255198,0.00003842435,0.9827755,0.0001220214,0.0002310691,0.0001285343,0.0003073047,0.0002304485,0.0004786383,0.0001258114,0.005364198,0.0100725],"study_design_scores_gemma":[0.000005976654,0.0000197724,0.9961235,0.00002449888,0.00008417873,0.00006601754,0.0002918628,0.0001362893,0.0001016935,0.00002013271,0.003113043,0.00001289686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9195689,0.005865153,0.000882151,0.003548621,0.0001281357,0.0002221121,0.05761981,0.00007534345,0.01208982],"genre_scores_gemma":[0.9780056,0.004388263,0.00115136,0.0006336315,0.00004436794,0.00005755986,0.01183494,0.0000145697,0.003869669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01569057,"threshold_uncertainty_score":0.1138436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07574813502703906,"score_gpt":0.376789926844225,"score_spread":0.3010417918171859,"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."}}