{"id":"W2506596529","doi":"10.1057/9781403905406_6","title":"Population Ageing and Care of the Elderly: What Are the Lessons of Asia for Sub-Saharan Africa?","year":2001,"lang":"en","type":"book-chapter","venue":"Palgrave Macmillan UK eBooks","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tanzania; Sierra leone; Geography; Latin Americans; Population; Quarter (Canadian coin); Socioeconomics; Fertility; Demographic transition; Developing country; Total fertility rate; Demography; Economic growth; Family planning; Political science; Research methodology; Economics","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":[0.00160195,0.0008562918,0.0007078669,0.001046157,0.001265438,0.003670665,0.000955142,0.002257733,0.006558239],"category_scores_gemma":[0.00212759,0.0002073878,0.0003810101,0.001747346,0.001671407,0.006470463,0.001785136,0.004028391,0.002221113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00158113,"about_ca_system_score_gemma":0.004625174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007752345,"about_ca_topic_score_gemma":0.01760941,"domain_scores_codex":[0.9997328,0.00009463509,0.00001729773,0.0000188934,0.00006993549,0.0000664855],"domain_scores_gemma":[0.9994204,0.0002104955,0.00004683683,0.00002634788,0.0001219924,0.0001739089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002303007,0.0000693629,0.0008469494,0.001604083,0.00001743591,0.0004012314,0.008230358,0.0001867457,0.0001046079,0.04531074,0.4293044,0.5139011],"study_design_scores_gemma":[0.000008715457,0.0000381558,0.001493515,0.003554427,0.00001520381,0.0003282869,0.004640152,0.00005131839,0.00004196098,0.01827847,0.9715387,0.00001093869],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.00167098,0.7820393,0.0005601727,0.1576644,0.009251837,0.00002233995,0.00007146603,0.00003409094,0.04868536],"genre_scores_gemma":[0.01497127,0.9036867,0.00142099,0.03333871,0.004258538,0.00006484715,0.00006638534,0.00002806885,0.04216455],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007752345,"threshold_uncertainty_score":0.02193952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03429460618669192,"score_gpt":0.2770239037835179,"score_spread":0.242729297596826,"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."}}