{"id":"W4233635187","doi":"10.2307/3434790","title":"Assessing the Health Benefits of Urban Air Pollution Reductions Associated with Climate Change Mitigation (2000-2020): Santiago, Sao Paulo, Mexico City, and New York City","year":2001,"lang":"en","type":"article","venue":"Environmental Health Perspectives","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Renewable Energy Laboratory; York University; Carnegie Mellon University; U.S. Environmental Protection Agency; U.S. Department of Energy; World Bank Group; School of Medicine, New York University; Rockefeller Family Fund; National Science Foundation","keywords":"Air pollution; Climate change; Environmental health; Environmental protection; Geography; Environmental planning; Environmental science; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009537889,0.0002991857,0.0003986287,0.0000742362,0.001508871,0.00004646185,0.0001518043,0.0001084585,0.0006702801],"category_scores_gemma":[0.00003838334,0.0002443375,0.00006007489,0.0004609542,0.0005164656,0.0006888522,0.0001513652,0.0003761425,0.00001905175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002273902,"about_ca_system_score_gemma":0.00009321357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00530846,"about_ca_topic_score_gemma":0.003146645,"domain_scores_codex":[0.9971152,0.0003581388,0.0004949804,0.0005936082,0.000552559,0.0008855042],"domain_scores_gemma":[0.9984159,0.00009488229,0.0006297398,0.0003107706,0.000005822721,0.0005428511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001694895,0.001389844,0.81656,0.00009870047,0.00005449814,0.000004892677,0.1333902,0.0003302448,0.0003904553,0.0001628261,0.006975159,0.04047367],"study_design_scores_gemma":[0.0006686147,0.0008405758,0.9713588,0.0002688424,0.00002108188,0.00005177474,0.02574758,0.0001037315,0.00007374315,0.00013312,0.0005113591,0.0002207557],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616243,0.006942976,0.00004653934,0.02952285,0.0001086015,0.00106296,0.0001694334,0.00006634057,0.0004559591],"genre_scores_gemma":[0.9870304,0.009581895,0.0003158582,0.002573972,0.0002446123,0.0000368525,0.00008692784,0.00003587007,0.0000935799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1547989,"threshold_uncertainty_score":0.999791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07505360678585363,"score_gpt":0.3284467164818609,"score_spread":0.2533931096960073,"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."}}