{"id":"W3196176049","doi":"10.1016/j.ssmph.2021.100901","title":"Does social capital increase healthcare financing's projection? Results from the rural household of Uttar Pradesh, India","year":2021,"lang":"en","type":"article","venue":"SSM - Population Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Johns Hopkins University","keywords":"Social capital; Probit model; Social security; Social support; Socioeconomic status; Multilevel model; Demographic economics; Descriptive statistics; Business; Socioeconomics; Economics; Psychology; Demography; Econometrics; Sociology; Statistics; Social psychology; Population","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001433309,0.0001367334,0.0003411216,0.00005199846,0.001885658,0.00006810942,0.0001665431,0.0001727249,0.00004860307],"category_scores_gemma":[0.0008485318,0.00009345751,0.000107897,0.0004552102,0.0001182132,0.0002389594,0.0000445518,0.0003085416,0.000004295021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004815311,"about_ca_system_score_gemma":0.00257295,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6346678,"about_ca_topic_score_gemma":0.2458314,"domain_scores_codex":[0.9966291,0.00107648,0.0008032629,0.0002881954,0.0006010559,0.0006019009],"domain_scores_gemma":[0.9983904,0.0004389574,0.0005349327,0.0002456701,0.0001602306,0.000229804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001319562,0.0001272693,0.7441388,0.0002948319,0.00002325629,0.000005115246,0.1787885,0.00001333581,0.00000166898,0.05637652,0.01064628,0.009452462],"study_design_scores_gemma":[0.0004609854,0.00003012165,0.9392912,0.0001008714,0.000007027577,5.497084e-7,0.05067349,0.000009018429,0.000005177855,0.003110347,0.006198607,0.0001125987],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8931304,0.000399536,0.000006664166,0.1037243,0.001082511,0.0005620256,0.0008320666,0.00008344526,0.0001789959],"genre_scores_gemma":[0.9902303,0.0003732347,0.0002398436,0.006944641,0.001304937,0.00002252132,0.0005134191,0.00001694771,0.0003541872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3888364,"threshold_uncertainty_score":0.9994137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04101185441518234,"score_gpt":0.3512456611229215,"score_spread":0.3102338067077391,"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."}}