{"id":"W4385293479","doi":"10.1101/2023.07.25.23293099","title":"US Exceptionalism? International Trends in Midlife Mortality","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Leverhulme Trust","keywords":"Life expectancy; Demography; Homicide; Mortality rate; Medicine; Disease; Cause of death; Gerontology; Injury prevention; Poison control; Environmental health; Population","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":[0.0006403322,0.0001530702,0.0001955533,0.002302839,0.0003116029,0.001219901,0.0003062264,0.0003346545,0.004617631],"category_scores_gemma":[0.002979232,0.0000704837,0.0002604634,0.004544034,0.0002704067,0.0009699876,0.0009538303,0.0007208703,0.0004795202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000648784,"about_ca_system_score_gemma":0.0005076097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01776721,"about_ca_topic_score_gemma":0.0179594,"domain_scores_codex":[0.9996911,0.00004914205,0.00005042058,0.00006212421,0.00005436184,0.00009283489],"domain_scores_gemma":[0.9977791,0.000175669,0.0009809668,0.0001245098,0.0005287505,0.0004111685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007445882,0.00002696036,0.9251841,0.00018145,0.00008214705,0.0001575576,0.0008985873,0.0001844795,0.0001038848,0.003393068,0.03066071,0.03905264],"study_design_scores_gemma":[0.000002507789,0.00002407295,0.9772958,0.0002197439,0.00002093182,0.0002475648,0.001569825,0.0002456825,0.00007787616,0.0006633737,0.01962223,0.00001025843],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8657068,0.01935701,0.0008056006,0.03076028,0.001091386,0.00002992476,0.0393895,0.0001802808,0.04267934],"genre_scores_gemma":[0.9824498,0.004310471,0.0003059039,0.001257111,0.0003893836,0.00002181776,0.01029443,0.00001813972,0.0009528946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01776721,"threshold_uncertainty_score":0.03532761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1545261777150007,"score_gpt":0.444874203431024,"score_spread":0.2903480257160233,"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."}}