{"id":"W2765622977","doi":"10.1289/ehp1756","title":"Longer-Term Impact of High and Low Temperature on Mortality: An International Study to Clarify Length of Mortality Displacement","year":2017,"lang":"en","type":"article","venue":"Environmental Health Perspectives","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Health and Medical Research Council; Medical Research Council; National Health Research Institutes; National Research Foundation; National Institute for Health and Care Research; National Institute for Health Research Health Protection Research Unit; Environmental Restoration and Conservation Agency; National Research Foundation of Korea; U.S. Environmental Protection Agency","keywords":"Confidence interval; Demography; Regression analysis; Medicine; Statistics; Mathematics","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":[0.0005274873,0.000247242,0.0004003853,0.00006290697,0.0003798011,0.00003996916,0.0003635843,0.00008869633,0.001104242],"category_scores_gemma":[0.00003052902,0.0002112657,0.00007134381,0.00003916883,0.0003427218,0.0004317045,0.0003484575,0.0002940173,0.00002142363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000969725,"about_ca_system_score_gemma":0.00002385857,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006813395,"about_ca_topic_score_gemma":0.001318984,"domain_scores_codex":[0.9979181,0.000129759,0.0004030326,0.000579243,0.0005899047,0.0003799522],"domain_scores_gemma":[0.9983245,0.00002763054,0.0003878727,0.0007940154,0.000004957547,0.000461078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001968983,0.003612624,0.9633791,0.00003399988,0.00007042704,0.000007057148,0.02799646,0.00009764074,0.003190547,0.00002987002,0.00009446103,0.001290933],"study_design_scores_gemma":[0.0008464875,0.004337492,0.9858376,0.00005620173,0.00001627594,0.000002358364,0.008237917,0.00002781229,0.0004198574,0.00004706461,0.0000052679,0.0001657135],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974096,0.00005035308,0.000001252723,0.0005126683,0.0001144147,0.001045276,0.0006126701,0.0000104862,0.0002432697],"genre_scores_gemma":[0.9991581,0.0003894968,0.00005295135,0.0001824467,0.00008890006,0.00002409237,0.00004311816,0.00002101638,0.00003983832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02245847,"threshold_uncertainty_score":0.9998089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05281115966027669,"score_gpt":0.4120854649115566,"score_spread":0.3592743052512799,"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."}}