{"id":"W4226164640","doi":"10.2139/ssrn.4064658","title":"Effect Modification of Greenness on the Association Between Heat and Mortality: A Multi-City Multi-Country Study","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"National Institute on Minority Health and Health Disparities; National Institute of Environmental Health Sciences; Agencia Estatal de Investigación; Medical Research Council; Grantová Agentura České Republiky; Emory University; National Research Foundation; European Commission; National Institutes of Health; U.S. Environmental Protection Agency; National Research Foundation of Korea; Yale University; Natural Environment Research Council","keywords":"Effect modification; Association (psychology); Urban heat island; Geography; Econometrics; Environmental science; Economics; Statistics; Meteorology; Mathematics; Psychology; Confidence interval","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002774314,0.0009459259,0.001077448,0.0006921458,0.001143977,0.001391475,0.001012275,0.001421078,0.002232533],"category_scores_gemma":[0.004423522,0.0008694291,0.003713381,0.00172789,0.0009913637,0.0007339445,0.00167092,0.001586401,0.000219405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007034473,"about_ca_system_score_gemma":0.0006749121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03520773,"about_ca_topic_score_gemma":0.04065875,"domain_scores_codex":[0.9963187,0.002351301,0.0001335952,0.0005925565,0.0001032462,0.0005005499],"domain_scores_gemma":[0.9957385,0.00137281,0.0009226497,0.001044635,0.0003321937,0.0005891736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006786665,0.0006472433,0.9799604,0.0001007585,0.005958237,0.0003475326,0.0006265435,0.0004367732,0.001819506,0.0001210838,0.0003483517,0.002846883],"study_design_scores_gemma":[0.00008172705,0.000490246,0.9972696,0.00001013159,0.001159378,0.00005108054,0.000333428,0.0002858829,0.0001280961,0.00003475821,0.0001398439,0.00001578674],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989783,0.0002376557,0.0002332494,0.00006241818,0.00002758165,0.00001021262,0.0003211492,0.000006339305,0.0001231358],"genre_scores_gemma":[0.999223,0.0000815517,0.0002178081,0.00004890603,0.0000104049,0.0000171725,0.0002117167,0.000006558637,0.0001829922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03520773,"threshold_uncertainty_score":0.0700056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06353525330382874,"score_gpt":0.3434799606346487,"score_spread":0.2799447073308199,"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."}}