{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007844914,0.0004023557,0.0003609711,0.0008728274,0.001799603,0.0008493674,0.000915923,0.0005490559,0.001569675],"category_scores_gemma":[0.001546493,0.000297199,0.0006336802,0.002451734,0.0003695007,0.0002416239,0.0006593136,0.0005269254,0.0002200285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006187692,"about_ca_system_score_gemma":0.008337572,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9745769,"about_ca_topic_score_gemma":0.983219,"domain_scores_codex":[0.9992577,0.0000604832,0.00004922805,0.0001504318,0.0002842724,0.0001979028],"domain_scores_gemma":[0.9989063,0.00006997391,0.0001784443,0.00006388147,0.0005358653,0.0002455494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005382502,0.00002781887,0.9979259,0.00001808402,0.00007925154,0.00002341894,0.0002701542,0.00003236788,0.000118739,0.00001664501,0.0002658015,0.001168016],"study_design_scores_gemma":[0.000002657735,0.00001053755,0.9992425,0.000006523047,0.00003140189,0.00001264617,0.0003642525,0.0000697694,0.00002034936,0.000004298432,0.0002318116,0.000003195825],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927379,0.0004936545,0.000159539,0.0001165331,0.000007781152,0.00005123801,0.005266865,0.000009198251,0.001157158],"genre_scores_gemma":[0.9963869,0.0002550183,0.0002594496,0.0000603428,0.000005502667,0.00003841002,0.002043621,0.000004860576,0.0009459342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02542311,"threshold_uncertainty_score":0.05114561,"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."}}