{"id":"W2896068157","doi":"10.1016/j.envint.2018.10.008","title":"Association between maternal urinary speciated arsenic concentrations and gestational diabetes in a cohort of Canadian women","year":2018,"lang":"en","type":"article","venue":"Environment International","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal; Université Laval; Health Canada; Dalhousie University","funders":"Canadian Institutes of Health Research; Health Canada; Canadian Diabetes Association","keywords":"Arsenobetaine; Gestational diabetes; Arsenic; Pregnancy; Obstetrics; Medicine; Offspring; Cohort study; Urine; Physiology; Gynecology; Endocrinology; Internal medicine; Gestation; Chemistry; Inorganic arsenic; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005736002,0.0004496154,0.000456899,0.001402191,0.0022024,0.000871736,0.001021023,0.0004750025,0.001551926],"category_scores_gemma":[0.001404981,0.0004492947,0.0005528121,0.003536595,0.0005411173,0.0002150486,0.0005759767,0.0006201441,0.0001487685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01175827,"about_ca_system_score_gemma":0.01406851,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.984301,"about_ca_topic_score_gemma":0.9821033,"domain_scores_codex":[0.9994306,0.00003196401,0.00002495411,0.0001360389,0.0001982344,0.0001782287],"domain_scores_gemma":[0.9991525,0.00005645066,0.0001933613,0.00004702674,0.0003453523,0.0002054143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009404196,0.0000125268,0.9971451,0.00002002523,0.00006337216,0.0001031162,0.0002225408,0.00005274326,0.0003028613,0.00005060161,0.0004743558,0.001458684],"study_design_scores_gemma":[0.000007537047,0.00002064482,0.9986505,0.00001810324,0.00004854054,0.0001157774,0.0003225549,0.000191065,0.00004578402,0.00002331058,0.0005490325,0.000007127574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935238,0.0007716218,0.0001099721,0.0002610815,0.00001296973,0.00002643572,0.003578372,0.00001432768,0.001701174],"genre_scores_gemma":[0.9968519,0.0006692274,0.0002490517,0.00007998783,0.000004672005,0.00001670896,0.00156391,0.000005039919,0.0005596019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01569897,"threshold_uncertainty_score":0.0853126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005994516624261142,"score_gpt":0.1958531971743559,"score_spread":0.1898586805500947,"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."}}