{"id":"W2982146702","doi":"10.1097/01.ee9.0000611316.49416.d8","title":"Environmental contaminant body burdens and the relationship with blood pressure measures among Indigenous Canadians: Results from the Nituuchischaayihtitaau Aschii: Multi-Community Environment-and-Health Longitudinal Study in Eeyou Istchee, a cross-sectional study","year":2019,"lang":"en","type":"article","venue":"Environmental Epidemiology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Poisson regression; Blood pressure; Indigenous; Pollutant; Principal component analysis; Medicine; Linear regression; Demography; Diastole; Environmental health; Chemistry; Internal medicine; Environmental chemistry; Mathematics; Statistics; Biology; Population; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.007702667,0.0005350802,0.0008427809,0.00006954325,0.00170835,0.00005602169,0.0005609725,0.0002267903,0.0005119725],"category_scores_gemma":[0.000353188,0.0003404811,0.00007738024,0.00009561191,0.002035634,0.0002864962,0.0007003589,0.001624525,0.0001589579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004966412,"about_ca_system_score_gemma":0.00003000127,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.245256,"about_ca_topic_score_gemma":0.1342914,"domain_scores_codex":[0.9919966,0.00420483,0.001238743,0.001069969,0.0005091763,0.0009807111],"domain_scores_gemma":[0.9944562,0.003414813,0.0006649721,0.001057612,0.000001478749,0.0004049681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005928277,0.001383102,0.9734741,0.000007094268,0.0001646565,0.00002052921,0.0233375,0.00074146,0.00002927621,0.000007864095,0.00003037493,0.000211229],"study_design_scores_gemma":[0.01027919,0.001481565,0.9746467,0.00002407735,0.0001643216,0.00005403303,0.01254075,0.0002309084,0.000001499118,0.0001141864,0.0001197281,0.0003430163],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922734,0.001688306,0.00001546319,0.0009337597,0.0001052977,0.004375809,0.0005250286,0.00002210228,0.00006077927],"genre_scores_gemma":[0.997883,0.0004490737,0.00009711926,0.0007742458,0.00006551381,0.000223871,0.0001806006,0.00005000301,0.0002765625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1109646,"threshold_uncertainty_score":0.9999047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1145540100768183,"score_gpt":0.3337048073444454,"score_spread":0.2191507972676272,"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."}}