{"id":"W2905530467","doi":"10.3390/ijerph15122836","title":"Wealth Inequality as a Predictor of Subjective Health, Happiness and Life Satisfaction among Nepalese Women","year":2018,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Psychological Well-being and Life Satisfaction","field":"Psychology","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Social Science Fund of China","keywords":"Happiness; Socioeconomic status; Life satisfaction; Demography; Bivariate analysis; Odds ratio; Cross-sectional study; Subjective well-being; Medicine; Inequality; Estimation; Psychology; Environmental health; Social psychology; Population; Economics; Sociology; Internal medicine; Statistics","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":[0.0003854467,0.0001097421,0.0001541263,0.000482132,0.0003305745,0.0004449874,0.0001483337,0.0001736426,0.001442269],"category_scores_gemma":[0.001812397,0.0001274207,0.0001751674,0.000481546,0.0002437199,0.0002983442,0.0005522834,0.0003468607,0.0001347582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000171243,"about_ca_system_score_gemma":0.0001759553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006044883,"about_ca_topic_score_gemma":0.01102872,"domain_scores_codex":[0.9998505,0.0000627404,0.00001436765,0.00002119963,0.00002239725,0.00002870868],"domain_scores_gemma":[0.9995158,0.0001486269,0.0001732787,0.00002416665,0.0000492773,0.00008885637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003302053,0.00002090329,0.9978264,0.000009931794,0.000026232,0.0001312992,0.0004129304,0.00002669851,0.00009893144,0.00003797897,0.00007032182,0.001305413],"study_design_scores_gemma":[0.000001379173,0.00003550659,0.9985611,0.00001243768,0.00001141202,0.0001241085,0.0008622429,0.0001779071,0.00002040699,0.00003048693,0.0001609076,0.000002172134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989336,0.0001684237,0.00002753485,0.00007447354,0.000002122733,0.0000042467,0.0001010261,4.836726e-7,0.0006881022],"genre_scores_gemma":[0.9997249,0.00006608451,0.00001739947,0.0000130686,0.000001673172,0.000003805745,0.00005100303,2.461707e-7,0.0001218438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006044883,"threshold_uncertainty_score":0.0120194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07337694796437028,"score_gpt":0.4228585529635189,"score_spread":0.3494816049991486,"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."}}