{"id":"W4410014532","doi":"10.1016/s2542-5196(25)00062-2","title":"Estimating the urban heat-related mortality burden due to greenness: a global modelling study","year":2025,"lang":"en","type":"article","venue":"The Lancet Planetary Health","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"National Health and Medical Research Council; Australian Research Council; China Scholarship Council","keywords":"Extreme heat; Geography; Environmental science; Climate change; Oceanography; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.001904188,0.0002002193,0.000426798,0.00001921109,0.0007774333,0.00004797415,0.0006073987,0.00004831946,0.0001979138],"category_scores_gemma":[0.00003159874,0.0001193549,0.00003242863,0.0005184143,0.0000733679,0.0000855066,0.0002377236,0.0003275344,0.0002571785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002960925,"about_ca_system_score_gemma":0.00006582241,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06608584,"about_ca_topic_score_gemma":0.01356083,"domain_scores_codex":[0.9977068,0.0003295871,0.0004517981,0.0003676539,0.0003466645,0.0007974766],"domain_scores_gemma":[0.9987859,0.0001577415,0.00009710023,0.0007251041,0.000006085895,0.0002280629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00009493399,0.0001020496,0.3603032,0.0001127265,0.00004314294,0.00002989958,0.008383923,0.5744238,0.000002023757,0.00005945317,0.05166055,0.004784341],"study_design_scores_gemma":[0.0006386146,0.0002568159,0.599588,0.000162394,0.00004118186,0.00002760664,0.001124,0.3945045,3.915298e-7,0.001631556,0.001840241,0.0001846833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9473717,0.0004481579,0.0007182569,0.0463994,0.0003720418,0.001544947,0.0001238191,0.000111502,0.002910243],"genre_scores_gemma":[0.9878069,0.00004621785,0.0004759392,0.01117216,0.0003221204,0.00003423352,0.00005766103,0.000008916176,0.00007591952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2392849,"threshold_uncertainty_score":0.9401332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08490503081655443,"score_gpt":0.3523514455692521,"score_spread":0.2674464147526977,"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."}}