{"id":"W4393099323","doi":"10.1093/ije/dyae024","title":"US exceptionalism? International trends in midlife mortality","year":2024,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 European Research Council; Leverhulme Trust","keywords":"Life expectancy; Demography; Exceptionalism; Medicine; Gerontology; High income countries; Political science; Population; Developing country; Economic growth; Sociology; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000968206,0.0001636554,0.0002157313,0.002695239,0.0003787884,0.001199554,0.0003209273,0.0003273954,0.005468714],"category_scores_gemma":[0.004520801,0.00007692983,0.0003896477,0.005858583,0.0002757906,0.001182757,0.001039981,0.0007668742,0.0004835021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007839537,"about_ca_system_score_gemma":0.0007908119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01988251,"about_ca_topic_score_gemma":0.02110111,"domain_scores_codex":[0.9995921,0.00007638081,0.00007552011,0.00007928627,0.00007834596,0.00009841388],"domain_scores_gemma":[0.9974501,0.0003081435,0.001017889,0.000130426,0.0006451611,0.0004483972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001504076,0.00003589751,0.7839797,0.001165034,0.000248273,0.0002641629,0.002738214,0.0002679358,0.0001508601,0.007373806,0.08483964,0.1187861],"study_design_scores_gemma":[0.000003833181,0.0000375169,0.9334633,0.0009512052,0.00005953154,0.0003413987,0.003330156,0.0001701347,0.00008510008,0.00132623,0.06021523,0.00001636061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6655341,0.09481251,0.001615142,0.06936497,0.003120448,0.00008189863,0.0864925,0.0003063573,0.07867204],"genre_scores_gemma":[0.9511372,0.02043478,0.0008797054,0.003855233,0.0009139631,0.00008126016,0.02075124,0.00004153257,0.001905101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01988251,"threshold_uncertainty_score":0.03953356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09328048437121927,"score_gpt":0.4659566260959795,"score_spread":0.3726761417247603,"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."}}