{"id":"W2983551938","doi":"10.3390/ijerph16224348","title":"Excess Mortality in Istanbul during Extreme Heat Waves between 2013 and 2017","year":2019,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut National de Santé Publique du Québec","funders":"","keywords":"Heat wave; Excess mortality; Extreme heat; Demography; Epidemiology; Apparent temperature; Mortality rate; Medicine; Public health; Geography; Climate change; Environmental science; Climatology; Environmental health; Meteorology; Oceanography; Surgery; Geology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00240026,0.0001045564,0.0002224969,0.0002284748,0.0001164018,0.0001074907,0.0002900302,0.00005550125,0.001662488],"category_scores_gemma":[0.00006452086,0.00009069041,0.00002631968,0.00009037513,0.0002503005,0.0007086985,0.0003507194,0.0004354974,0.00006750469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000784061,"about_ca_system_score_gemma":0.00005855723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001308174,"about_ca_topic_score_gemma":0.0004344874,"domain_scores_codex":[0.9974442,0.0001839158,0.0004744692,0.0002224428,0.001114478,0.0005604554],"domain_scores_gemma":[0.9988654,0.0001635165,0.0001371226,0.0001224757,0.00001410599,0.00069734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004291163,0.0001713453,0.9885531,0.0000290208,0.00001351587,0.0000328721,0.0009483844,0.000003633087,0.001230688,0.00001559743,0.0004608153,0.008498101],"study_design_scores_gemma":[0.0007879017,0.0003031623,0.9933015,0.0000688709,7.51849e-7,0.00006984161,0.0009577434,0.00003807799,0.00004152648,0.0006079575,0.003749066,0.00007359566],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986214,0.0007918314,0.00000485085,0.01197452,0.0001084263,0.0001979106,0.00005650354,0.000002455623,0.0006494708],"genre_scores_gemma":[0.9895571,0.009781516,0.00005402654,0.0002505594,0.0001490986,0.000002406571,0.00001069574,0.000009186654,0.0001853852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01172397,"threshold_uncertainty_score":0.9992501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2361382000762973,"score_gpt":0.4331911326207825,"score_spread":0.1970529325444852,"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."}}