{"id":"W4410188191","doi":"10.1038/s41586-025-08907-1","title":"Global emergence of unprecedented lifetime exposure to climate extremes","year":2025,"lang":"en","type":"article","venue":"Nature","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"European Commission; Vlaamse regering; Vlaams Supercomputer Centrum; Fonds Wetenschappelijk Onderzoek; Wellcome Trust","keywords":"Climate change; Climate extremes; Environmental science; Greenhouse gas; Climate model; Climatology; Population; Global warming; Environmental health; Medicine; Ecology","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":[0.0001494784,0.00010772,0.0001465896,0.00003192297,0.00007376968,0.000008976015,0.0002466888,0.0003915071,0.002716819],"category_scores_gemma":[0.00010413,0.00009460726,0.00004202513,0.0007111241,0.00003505209,0.00007487342,0.000217832,0.0002924996,0.0001955869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007766422,"about_ca_system_score_gemma":0.00001236778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009839356,"about_ca_topic_score_gemma":0.0006399854,"domain_scores_codex":[0.998987,0.00002383627,0.0001939011,0.0002283686,0.0002387438,0.0003282195],"domain_scores_gemma":[0.9995269,0.00002205002,0.00005265783,0.0002416188,0.00001686946,0.0001399212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001229257,0.0001116709,0.5387473,0.0001113605,0.0000101043,0.00000575619,0.0004316959,0.000214008,0.009651457,0.0005080323,0.4370432,0.01304257],"study_design_scores_gemma":[0.0004131896,0.0001686188,0.9525045,0.0002225686,0.00002360592,0.000002865945,0.000347826,0.0001053055,0.002880167,0.0007979399,0.04232699,0.0002064447],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9443418,0.001169436,0.00003588545,0.007865775,0.0005855382,0.0003312568,0.0001148003,0.00005668204,0.04549881],"genre_scores_gemma":[0.9933221,0.000241389,0.0004621493,0.005365357,0.00003487614,0.000007879602,0.0000103191,0.000004896212,0.0005510302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4137572,"threshold_uncertainty_score":0.9981948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01633989394329353,"score_gpt":0.3285291919192792,"score_spread":0.3121892979759856,"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."}}