{"id":"W2258354078","doi":"10.1097/ede.0000000000000375","title":"Review Article","year":2015,"lang":"en","type":"review","venue":"Epidemiology","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":379,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal; Institut National de Santé Publique du Québec","funders":"","keywords":"Confidence interval; Effect modification; Demography; Medicine; Socioeconomic status; Relative risk; Random effects model; Vulnerability (computing); Meta-analysis; Heat wave; Environmental health; Population; Internal medicine; Biology","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":["insufficient_payload"],"category_scores_codex":[0.003934579,0.0002315829,0.002255301,0.00002051639,0.0000418445,0.000001512949,0.0002651153,0.000257259,0.006711322],"category_scores_gemma":[0.00261371,0.0001575569,0.0002138173,0.0002063891,0.0001138897,0.00004236945,0.000239177,0.0003148978,0.0271125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002888738,"about_ca_system_score_gemma":0.0000376928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008220526,"about_ca_topic_score_gemma":0.00002310767,"domain_scores_codex":[0.9972405,0.000958781,0.000794017,0.000366629,0.0000690056,0.0005710973],"domain_scores_gemma":[0.9979059,0.000848363,0.0003998117,0.0004584299,0.000004840646,0.0003826414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[1.63516e-7,0.000005172089,0.00002164016,0.007061714,0.00000206668,0.000002029904,0.000003520849,7.645573e-8,2.535538e-9,0.00001426268,0.4549311,0.5379583],"study_design_scores_gemma":[0.0000263898,0.00003319747,0.00001102601,0.01598652,0.0001403698,0.00006137219,6.132923e-7,0.000001718704,2.577861e-9,0.000983461,0.9826104,0.0001448924],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[1.932814e-7,0.9875085,0.00000463806,0.00179181,0.0002203582,0.0005604883,0.00001578093,0.00003693852,0.009861265],"genre_scores_gemma":[1.211541e-8,0.9816306,0.0002177403,0.01729414,0.0002153609,0.00009253874,0.00006350561,0.00002238339,0.0004637103],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5378134,"threshold_uncertainty_score":0.9941967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5360497993676285,"score_gpt":0.5271024792480588,"score_spread":0.00894732011956978,"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."}}