{"id":"W2072630110","doi":"10.5539/ass.v4n4p70","title":"Health, Quality of Life and GDP: An ASEAN Experience","year":2009,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Global Health Care Issues","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Yardstick; Per capita; Government (linguistics); Per capita income; Health care; Economic growth; Quality of life (healthcare); Economics; Quality (philosophy); Business; Public economics; Demographic economics; Development economics; Environmental health; Psychology; Medicine; Population; Demography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001251823,0.0002313977,0.0002654392,0.0006472385,0.0022648,0.00163545,0.0002038936,0.00043334,0.002442102],"category_scores_gemma":[0.001058881,0.0001078692,0.0001186031,0.00254976,0.001008829,0.00225139,0.001644387,0.001122807,0.0002706948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002326029,"about_ca_system_score_gemma":0.001226535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02682463,"about_ca_topic_score_gemma":0.04740973,"domain_scores_codex":[0.9995567,0.0002248123,0.00001828686,0.00002022745,0.00007871592,0.0001011806],"domain_scores_gemma":[0.9995142,0.0001404094,0.0001052197,0.00001752716,0.00008515714,0.0001374728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003537638,0.0008688603,0.383068,0.0004111485,0.00008005504,0.00535714,0.3585826,0.001031583,0.001780313,0.02900273,0.0532095,0.1662543],"study_design_scores_gemma":[0.00001397811,0.0003143017,0.4850277,0.0003133538,0.00002237373,0.001954146,0.367382,0.0007061197,0.0003174016,0.002279194,0.1416034,0.00006593363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9646756,0.003986298,0.0001130132,0.009039004,0.00005991554,0.000006602823,0.0002574475,0.000004513706,0.02185764],"genre_scores_gemma":[0.9894829,0.005699796,0.0001163611,0.0009320971,0.00004021017,0.00001172224,0.0001699566,0.000004012713,0.003542916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02682463,"threshold_uncertainty_score":0.05333698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1235617387794302,"score_gpt":0.5633419524543515,"score_spread":0.4397802136749213,"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."}}