{"id":"W2884395684","doi":"10.1289/ehp3397","title":"Associations between Living Near Water and Risk of Mortality among Urban Canadians","year":2018,"lang":"en","type":"article","venue":"Environmental Health Perspectives","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Environment and Climate Change Canada; Esri (Canada); Health Canada; University of British Columbia; Public Health Ontario; Dalhousie University; University of New Brunswick; University of Toronto; Institute for Clinical Evaluative Sciences; Statistics Canada","funders":"Canadian Institutes of Health Research; Nova Scotia Department of Health and Wellness; Research Nova Scotia; Social Sciences and Humanities Research Council of Canada; Nova Scotia Health Research Foundation; Fondation de la recherche en santé du Nouveau-Brunswick","keywords":"Demography; Cohort; Census; Environmental health; Medicine; Cohort study; Population; Gerontology; Geography","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":[0.0004011327,0.0003559031,0.0002879833,0.001262319,0.001740924,0.0007055727,0.0008799625,0.0003257025,0.002061453],"category_scores_gemma":[0.001518843,0.0001754437,0.0004739729,0.002385603,0.0005738614,0.0002091861,0.0006659387,0.0004890398,0.0001150873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006864321,"about_ca_system_score_gemma":0.008667202,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9770476,"about_ca_topic_score_gemma":0.9848299,"domain_scores_codex":[0.9995646,0.00003013819,0.00001796062,0.00009419493,0.0001412168,0.0001518339],"domain_scores_gemma":[0.9990433,0.00006790218,0.0002412991,0.00003812259,0.000363437,0.0002459115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003617722,0.000009857597,0.9975401,0.00001871819,0.00004835298,0.00003235617,0.0001540741,0.0000781311,0.00007242081,0.0000505804,0.0004988073,0.001460273],"study_design_scores_gemma":[0.000002952529,0.000007997917,0.9990456,0.00001673401,0.0000245622,0.00002194854,0.0002951062,0.00009784661,0.00001703863,0.00002470885,0.000440641,0.000004864704],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939324,0.0007068485,0.0001060888,0.0002699944,0.00001098681,0.00001809657,0.003097535,0.000009062011,0.001848837],"genre_scores_gemma":[0.9978424,0.0003551942,0.0001115475,0.0000506186,0.000006249642,0.000007894541,0.001272043,0.000003035848,0.0003509743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02295244,"threshold_uncertainty_score":0.04980439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01358126276676193,"score_gpt":0.263146258404744,"score_spread":0.249564995637982,"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."}}