{"id":"W4391151184","doi":"10.1093/geroni/igae002","title":"Longitudinal Studies of Aging in Sub-Saharan Africa: Review, Limitations, and Recommendations in Preparation of Projected Aging Population","year":2024,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Trent University; McGill University; Impact; McMaster University; York University; University of Lethbridge; University of Manitoba","funders":"University of Oxford","keywords":"Longitudinal study; Longitudinal data; Population; Gerontology; Population ageing; Geography; Demography; Medicine; Sociology; Pathology","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":[0.002589979,0.00007266874,0.0002248536,0.0009430938,0.00009017716,0.00002919475,0.00004967613,0.0000384639,0.000005402671],"category_scores_gemma":[0.001332796,0.00007866556,0.00001504902,0.003463364,0.00005279144,0.0006472068,0.00002252951,0.0001361097,4.328303e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002289937,"about_ca_system_score_gemma":0.00012626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002353181,"about_ca_topic_score_gemma":0.01186314,"domain_scores_codex":[0.998291,0.0002201209,0.0009514024,0.0001766984,0.0001865909,0.0001742027],"domain_scores_gemma":[0.9990406,0.0004851069,0.0002033885,0.00006667824,0.0001921963,0.00001201214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006915594,0.00005711816,0.8468074,0.005250775,0.00001586728,0.000002939014,0.04723338,0.0001610726,0.0001178024,0.04670936,0.001043609,0.05259377],"study_design_scores_gemma":[0.0003955426,0.00002167843,0.9511058,0.02053596,0.0000176576,8.89697e-7,0.01227024,0.001454279,0.0001476731,0.005863592,0.007970361,0.000216316],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9316985,0.04736143,0.0001951465,0.01882833,0.0003278101,0.0007805276,0.00000681774,0.00004202493,0.0007594441],"genre_scores_gemma":[0.9737663,0.02544533,0.0004957585,0.0001254103,0.00003149094,0.00006291117,0.00003641933,0.000005761393,0.000030633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1042984,"threshold_uncertainty_score":0.6619908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1672065077910125,"score_gpt":0.4551549853206354,"score_spread":0.2879484775296229,"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."}}