{"id":"W1972116141","doi":"10.1016/j.annepidem.2014.05.006","title":"Mortality inequality in populations with equal life expectancy: Arriaga's decomposition method in SAS, Stata, and Excel","year":2014,"lang":"en","type":"article","venue":"Annals of Epidemiology","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":72,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Université de Montréal; Institut National de Santé Publique du Québec","funders":"","keywords":"Life expectancy; Demography; Medicine; Gerontology; Inequality; Population; Mortality rate; Environmental health; Mathematics; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.0185073,0.0001706888,0.000759565,0.0003024729,0.0001356867,0.00001043627,0.0002097158,0.0001701373,0.000034688],"category_scores_gemma":[0.004205107,0.0001603995,0.00007994665,0.0004936459,0.0004505927,0.0002454279,0.00006368502,0.0002089293,0.00000209249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002936486,"about_ca_system_score_gemma":0.00006643551,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04738108,"about_ca_topic_score_gemma":0.102371,"domain_scores_codex":[0.99098,0.006656349,0.001054263,0.0004868962,0.0002256218,0.0005968478],"domain_scores_gemma":[0.9968622,0.001981661,0.0004923739,0.0003727997,0.0001201915,0.0001707741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005260923,0.00008660973,0.7757777,0.00002953476,0.000025993,0.000002044253,0.001420256,0.0005562394,0.000007397209,0.2195103,0.0001686423,0.002362682],"study_design_scores_gemma":[0.0003137777,0.00008840541,0.8426389,0.00003378481,0.00001220657,2.434357e-7,0.0006442182,0.0005411675,0.000006309996,0.1548277,0.0007445297,0.0001487827],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9561291,0.0004963378,0.03595674,0.003763091,0.0001386755,0.0004161717,0.00002510262,0.00003209303,0.003042718],"genre_scores_gemma":[0.9855012,0.0003781877,0.01228386,0.001648676,0.0000910786,0.00005198765,0.00002852936,0.000009757798,0.000006777683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0668612,"threshold_uncertainty_score":0.9589625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2502994331809021,"score_gpt":0.5065132554077527,"score_spread":0.2562138222268506,"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."}}