{"id":"W2006861800","doi":"10.1016/j.healthplace.2014.12.014","title":"Neighbourhood and dwelling characteristics associated with the self-reported adverse health effects of heat in most deprived urban areas: A cross-sectional study in 9 cities","year":2015,"lang":"en","type":"article","venue":"Health & Place","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de Santé Publique du Québec; Université Laval; Ouranos; Institut National de la Recherche Scientifique; Centre hospitalier universitaire de Québec","funders":"","keywords":"Neighbourhood (mathematics); Disadvantaged; Geography; Environmental health; Cross-sectional study; Multivariate analysis; Extreme heat; Occupational safety and health; Demography; Socioeconomics; Medicine; Climate change; Sociology; Economic growth","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":[0.0005279618,0.0002392649,0.0004147834,0.0006109034,0.001018926,0.0008341268,0.0003680098,0.0005144383,0.001005382],"category_scores_gemma":[0.001043933,0.0004255867,0.0004778584,0.001132888,0.0004697031,0.0003791513,0.0005532583,0.0005589714,0.0001728964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001233879,"about_ca_system_score_gemma":0.0008138647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3366528,"about_ca_topic_score_gemma":0.4772312,"domain_scores_codex":[0.9996228,0.00007408387,0.00003448162,0.00007997736,0.00009699824,0.00009168042],"domain_scores_gemma":[0.9990588,0.0001222942,0.0002392043,0.00008207458,0.000223797,0.0002739114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000415784,0.00005841771,0.9988972,0.000008022961,0.0000448559,0.00003387163,0.0003316027,0.00002232367,0.0001744594,0.000004857789,0.00006047291,0.0003222622],"study_design_scores_gemma":[0.000001302513,0.00002991316,0.9995341,0.000002583272,0.000007376559,0.00002150409,0.0003185619,0.00003440594,0.00001133398,0.000001887815,0.00003486426,0.000002050347],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994759,0.00006140163,0.00002736744,0.00001106578,0.000001591051,0.00000997759,0.0002762063,9.793077e-7,0.0001356175],"genre_scores_gemma":[0.999567,0.0000458204,0.00003569742,0.00001741046,0.000001915643,0.000008742834,0.0002333851,0.00000104355,0.00008899067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3366528,"threshold_uncertainty_score":0.6693866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04144179929977023,"score_gpt":0.3099013917204267,"score_spread":0.2684595924206565,"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."}}