{"id":"W2026834641","doi":"10.5539/ass.v6n6p54","title":"Predictors of Financial Dependency in Old Age in Peninsular Malaysia: An Ethnicity Comparison","year":2010,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnic group; Independence (probability theory); Government (linguistics); Perspective (graphical); Dependency (UML); Intervention (counseling); Financial independence; Dependency ratio; Finance; Psychology; Political science; Demography; Business; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.001448347,0.0001681625,0.000365726,0.0006001565,0.0002514448,0.000139159,0.0007789865,0.0001456474,0.0001403083],"category_scores_gemma":[0.0005317342,0.0001745006,0.00008322568,0.003308833,0.0005200504,0.001907339,0.0002370009,0.0004194306,0.00002745406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006154036,"about_ca_system_score_gemma":0.0001193249,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003656314,"about_ca_topic_score_gemma":0.01817415,"domain_scores_codex":[0.9977546,0.00002471418,0.0005320769,0.0004693728,0.0007448054,0.0004744212],"domain_scores_gemma":[0.9992335,0.00001517419,0.0003118777,0.0002478421,0.0001654616,0.00002607434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001685032,0.0001770801,0.9654878,0.00001789315,5.8883e-7,0.00001919516,0.0009434017,0.000004444277,0.008033278,0.0212929,0.00004607479,0.003960474],"study_design_scores_gemma":[0.0003104296,0.00001261527,0.9953759,0.00001937884,0.00001437374,1.800886e-7,0.0002150696,0.0009698287,0.0002478709,0.002203928,0.0004463983,0.0001840341],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978654,0.00000604451,0.000007656859,0.00008991662,0.0003999711,0.0002066378,0.000001981324,0.00003103359,0.02060281],"genre_scores_gemma":[0.9990506,9.038453e-7,0.0001774013,0.0001550173,0.0005466657,0.00000863003,0.00001181722,0.00001077197,0.00003817213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02988807,"threshold_uncertainty_score":0.9997416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389126918478403,"score_gpt":0.2664165033746105,"score_spread":0.2525252341898264,"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."}}