{"id":"W2981704501","doi":"10.1097/01.ee9.0000609956.43849.45","title":"Future attributable deaths of heatwaves in Italian cities using high resolution climate change scenarios","year":2019,"lang":"en","type":"article","venue":"Environmental Epidemiology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Climate change; Percentile; Heat wave; Environmental science; Poisson regression; Climatology; Representative Concentration Pathways; Climate model; Population; Mediterranean climate; Extreme heat; Business as usual; Geography; Demography; Meteorology; Medicine; Statistics; Environmental health; Mathematics; Economics","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":[0.00148164,0.0007439266,0.0004303995,0.0009980272,0.0002181638,0.0007443946,0.0007058608,0.0007576293,0.001275915],"category_scores_gemma":[0.002575316,0.0003293191,0.001696523,0.001575605,0.0002854469,0.0005011965,0.0005362161,0.0004450907,0.0002940878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001951439,"about_ca_system_score_gemma":0.0007085368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06911739,"about_ca_topic_score_gemma":0.0363016,"domain_scores_codex":[0.9993924,0.0003432357,0.00002689017,0.0001088511,0.00004698391,0.0000816319],"domain_scores_gemma":[0.9992806,0.0003258183,0.0001356315,0.00009212091,0.0001191038,0.0000466482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003252787,0.00006592512,0.1011728,0.0001242383,0.0003538715,0.0002302315,0.00007658249,0.8897394,0.0003904256,0.0008806164,0.002127264,0.004513365],"study_design_scores_gemma":[0.0001698245,0.0001401084,0.2746364,0.00007708699,0.0002622909,0.0001376387,0.000218044,0.7195887,0.0005375643,0.0008383093,0.003304005,0.00009012072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826454,0.0004057732,0.002700297,0.0003233285,0.00002887211,0.00004440341,0.01149189,0.0001503056,0.002209868],"genre_scores_gemma":[0.9883714,0.0001906888,0.001343282,0.00003434868,0.00002090929,0.0001000205,0.009531152,0.00002327293,0.0003849548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06911739,"threshold_uncertainty_score":0.1374302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08882796379193889,"score_gpt":0.3180834816537363,"score_spread":0.2292555178617974,"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."}}