{"id":"W2902275646","doi":"10.1093/geront/gny160","title":"The Aging of a Young Nation: Population Aging in Singapore","year":2018,"lang":"en","type":"article","venue":"The Gerontologist","topic":"Intergenerational Family Dynamics and Caregiving","field":"Social Sciences","cited_by":136,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada); University of British Columbia","funders":"","keywords":"Population ageing; Gerontology; Population; Psychology; Demography; Sociology; Medicine","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":[0.000839396,0.0001289199,0.0001345629,0.0005295862,0.001407714,0.001763051,0.0002363638,0.0004118774,0.002664082],"category_scores_gemma":[0.00122507,0.00008328189,0.0001480043,0.001146025,0.000916915,0.00181382,0.002126912,0.0005823153,0.0002625683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001773951,"about_ca_system_score_gemma":0.002383066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02596145,"about_ca_topic_score_gemma":0.06581501,"domain_scores_codex":[0.9996537,0.0001920925,0.0000432182,0.00002624738,0.00003729168,0.00004740601],"domain_scores_gemma":[0.9994432,0.0001001959,0.0001623209,0.00002718679,0.00009465813,0.000172546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009420612,0.0001070193,0.5602231,0.0009872844,0.00007746487,0.007205188,0.1864789,0.0005506292,0.001149675,0.04290722,0.02805237,0.1721668],"study_design_scores_gemma":[0.000007000639,0.0002596271,0.5537442,0.001151955,0.00007341831,0.003978623,0.2600746,0.0008039146,0.0005615777,0.01155622,0.1677118,0.0000770255],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9254868,0.01409692,0.0007097783,0.02791096,0.0002877813,0.0000279596,0.0004368738,0.00002226491,0.03102077],"genre_scores_gemma":[0.9875863,0.008721644,0.0002831875,0.001033431,0.0000501205,0.00001720674,0.0001148512,0.000006290354,0.002187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02596145,"threshold_uncertainty_score":0.05162072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03220536963204033,"score_gpt":0.3277833054371018,"score_spread":0.2955779358050615,"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."}}