{"id":"W2769007514","doi":"10.1111/coep.12267","title":"INEQUALITY IN MORTALITY OVER THE LIFE COURSE: WHY THINGS ARE NOT AS BAD AS YOU THINK","year":2017,"lang":"en","type":"article","venue":"Contemporary Economic Policy","topic":"Global Health Care Issues","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Inequality; Demographic economics; Public health insurance; Life course approach; Mortality rate; Economics; Demography; Economic growth; Sociology; Health insurance; Health care; Psychology; Mathematics","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":[0.005194737,0.0002966068,0.0005985826,0.001019049,0.001928865,0.003726944,0.0006973539,0.002872711,0.004225917],"category_scores_gemma":[0.02279381,0.0002180237,0.0003870128,0.001262355,0.006435538,0.005739616,0.001641445,0.007524719,0.001114601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00260844,"about_ca_system_score_gemma":0.002316127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02312353,"about_ca_topic_score_gemma":0.02866307,"domain_scores_codex":[0.9974879,0.001146679,0.0001451909,0.0002937119,0.0005765437,0.0003499133],"domain_scores_gemma":[0.9920422,0.003252501,0.001107657,0.0003254332,0.001772772,0.001499502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002997803,0.0001610115,0.1523794,0.00105202,0.0003978615,0.0004419935,0.0187194,0.0004648452,0.0003782271,0.07573391,0.4344836,0.3154879],"study_design_scores_gemma":[0.0001014605,0.000248324,0.2911004,0.005855639,0.0002888642,0.0007608627,0.03968378,0.0008653999,0.0004154264,0.4108469,0.2496196,0.0002132646],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01736336,0.04578822,0.0004596037,0.9275539,0.003001154,0.000005118749,0.000223561,0.00001707151,0.005588021],"genre_scores_gemma":[0.6931081,0.1045354,0.0009881677,0.1786742,0.0188092,0.00004160792,0.0003438639,0.00007245796,0.003426915],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02312353,"threshold_uncertainty_score":0.04597789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1508485741965919,"score_gpt":0.488931293818579,"score_spread":0.3380827196219871,"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."}}