{"id":"W2778391255","doi":"10.25336/p60g7g","title":"Inequality in mortality decreases with age: Evidence from developing countries using census data","year":2017,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Global Health Care Issues","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microdata (statistics); Sierra leone; Socioeconomic status; Developing country; Census; Demography; Geography; Inequality; Population; Socioeconomics; Economics; Economic growth; Sociology; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001327062,0.0001725703,0.0004316338,0.0001429991,0.001442694,0.00003125771,0.000471593,0.0001412807,0.00001179786],"category_scores_gemma":[0.005640597,0.0001625546,0.000009734552,0.0001687187,0.0001903071,0.0006993623,0.0003170312,0.0002890818,0.00001020334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003393525,"about_ca_system_score_gemma":0.001264087,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9710858,"about_ca_topic_score_gemma":0.9975041,"domain_scores_codex":[0.99752,0.0004646729,0.000665648,0.0004749063,0.0002631121,0.0006116694],"domain_scores_gemma":[0.9973286,0.0005941432,0.0003991469,0.001234861,0.0002452515,0.0001980421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002768452,0.000002843367,0.996195,0.0002238649,0.00001721446,0.0001182813,0.00231282,0.00003157278,2.242133e-7,0.0004159331,0.0004650684,0.000189504],"study_design_scores_gemma":[0.0003039798,0.000006980426,0.9894198,0.004143644,0.00002038937,5.340584e-7,0.003448767,0.0002881411,4.577488e-7,0.0008327744,0.001356047,0.0001784462],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936564,0.002863617,0.00001603264,0.001323837,0.0008425599,0.0006859055,0.0004618646,0.00002347914,0.0001263185],"genre_scores_gemma":[0.9962914,0.0005668236,0.001954904,0.0006421206,0.000177422,0.00003043755,0.000314216,0.00001493253,0.000007755028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02641827,"threshold_uncertainty_score":0.9998573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7091180492631632,"score_gpt":0.6168157822992537,"score_spread":0.09230226696390953,"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."}}