{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004031302,0.0004197416,0.0003512825,0.0009502423,0.0003911358,0.0006538053,0.0002524805,0.0002882454,0.00128221],"category_scores_gemma":[0.0003573576,0.000172811,0.0004642923,0.001026172,0.0002332468,0.0003390942,0.0007539726,0.000366341,0.0003000949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007804939,"about_ca_system_score_gemma":0.0007360714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01039291,"about_ca_topic_score_gemma":0.01454979,"domain_scores_codex":[0.9996871,0.00005642373,0.00003128876,0.00005359835,0.00005988082,0.000111781],"domain_scores_gemma":[0.9998354,0.00002042543,0.0000604279,0.000009981731,0.00004692761,0.00002679665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004992277,0.00008017762,0.9793085,0.00009784009,0.0001476267,0.0007548771,0.0005118995,0.000964441,0.0007175255,0.0001831172,0.003477335,0.01325742],"study_design_scores_gemma":[0.000007770729,0.00007422633,0.9963007,0.0000318993,0.0000402173,0.0003596927,0.0009775606,0.000426823,0.0002323264,0.00008377714,0.001456557,0.000008402426],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960913,0.0005972795,0.00007933574,0.0001582447,0.00005213883,0.000006273027,0.001975494,0.00001156855,0.001028357],"genre_scores_gemma":[0.9968492,0.0005350666,0.00005318278,0.00004259043,0.00002943315,0.00000968958,0.002124474,0.000002707849,0.0003536234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01039291,"threshold_uncertainty_score":0.02066481,"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."}}