{"id":"W4405649219","doi":"10.1088/2752-5309/ad9ac3","title":"Associations of severe climate conditions and race/ethnic-specific ischemic heart disease mortality among middle-aged adults in the United States","year":2024,"lang":"en","type":"article","venue":"Environmental Research Health","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre; Montreal General Hospital; Jewish General Hospital; University of Toronto","funders":"National Oceanic and Atmospheric Administration; Centers for Disease Control and Prevention","keywords":"Ethnic group; Race (biology); Medicine; Demography; Disease; Gerontology; Internal medicine; Political science; 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":[],"category_scores_codex":[0.003172674,0.0001510168,0.0002107819,0.000167599,0.0004827031,0.00005617326,0.0002012872,0.00006508997,0.001207795],"category_scores_gemma":[0.00008526249,0.000124015,0.00004711741,0.0006954833,0.0006879479,0.0002831678,0.0002404796,0.0006586037,0.0001753054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00079177,"about_ca_system_score_gemma":0.0000446669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003910953,"about_ca_topic_score_gemma":0.002439844,"domain_scores_codex":[0.9966055,0.0007618021,0.0004441307,0.0004237414,0.0009140261,0.0008508189],"domain_scores_gemma":[0.9983106,0.0007765235,0.00007859404,0.0003506869,0.000003801747,0.000479829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007799007,0.0005448159,0.9512628,0.0004123064,0.00001004498,0.00003614748,0.0172436,0.0002000336,0.0006612208,0.00007550998,0.02871217,0.0007633975],"study_design_scores_gemma":[0.0003169087,0.0001317501,0.9909909,0.0002538754,0.000004544726,0.000003353368,0.004720008,0.0008046565,0.0000251589,0.0005068147,0.002134159,0.0001078965],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882205,0.002082391,0.000001395857,0.006496066,0.00003826728,0.0009854177,0.001924964,0.00002396346,0.0002271],"genre_scores_gemma":[0.984001,0.01373779,0.00002436775,0.0008045671,0.00003296392,0.0001016483,0.001211256,0.00002159823,0.00006477958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0397281,"threshold_uncertainty_score":0.9997053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1857009239126534,"score_gpt":0.426388679735628,"score_spread":0.2406877558229746,"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."}}