{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.113944,0.002063922,0.008179329,0.01967073,0.002382415,0.007397557,0.004971631,0.003980462,0.007082848],"category_scores_gemma":[0.3022675,0.002369978,0.01118988,0.01763682,0.002991335,0.01390878,0.004662254,0.004376224,0.001358941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009218464,"about_ca_system_score_gemma":0.05204333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02136116,"about_ca_topic_score_gemma":0.05904199,"domain_scores_codex":[0.925108,0.03491973,0.02894271,0.002430974,0.007341861,0.001256706],"domain_scores_gemma":[0.649654,0.2626499,0.0364029,0.006991126,0.04234129,0.001960611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001522248,0.00002739702,0.002170687,0.8404921,0.003383961,0.0001916774,0.001844998,0.0001972025,0.0002612125,0.002543688,0.01873297,0.130002],"study_design_scores_gemma":[0.0000683867,0.00003993388,0.00201497,0.9395554,0.00610667,0.0001033155,0.001219557,0.00008370312,0.0001038554,0.001275555,0.0493858,0.00004299752],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006732843,0.9776879,0.001515033,0.01293418,0.00309852,0.002196518,0.0009369999,0.0000440255,0.000913487],"genre_scores_gemma":[0.007551678,0.9680535,0.009517067,0.006879153,0.0007883487,0.006127035,0.000632581,0.00002586733,0.0004248349],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.113944,"threshold_uncertainty_score":0.6026008,"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."}}