{"id":"W2396140514","doi":"10.1016/j.ehb.2016.04.003","title":"How does social capital matter to the health status of older adults? Evidence from the China Health and Retirement Longitudinal Survey","year":2016,"lang":"en","type":"article","venue":"Economics & Human Biology","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Office for Philosophy and Social Sciences; Peking University; University of Toronto","keywords":"Endogeneity; Social capital; Residence; Demographic economics; Confounding; Economics; Standard deviation; Mental health; Psychology; Econometrics; Medicine; Political science; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001640395,0.0001124379,0.0003101835,0.00002169486,0.001016131,0.00006700088,0.0003075599,0.00006698118,0.0002140603],"category_scores_gemma":[0.0001650888,0.00005350685,0.0000471342,0.00003328595,0.0004795071,0.00009943409,0.000120198,0.00008959691,0.00001334987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000284054,"about_ca_system_score_gemma":0.0004290741,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2199469,"about_ca_topic_score_gemma":0.461363,"domain_scores_codex":[0.9978332,0.0008062563,0.0003419489,0.0003055974,0.00005577879,0.0006572268],"domain_scores_gemma":[0.9985972,0.0006615798,0.0002823915,0.0002004432,0.00003446511,0.0002239174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003502091,0.00001065962,0.9407792,0.00001745706,0.00001506675,3.85608e-8,0.03922977,3.463591e-8,5.903821e-7,0.007710715,0.006874104,0.005327356],"study_design_scores_gemma":[0.0001934448,0.0001102408,0.9846093,0.0000598489,0.000001620966,6.594051e-8,0.004553149,2.492815e-7,0.000001620271,0.0011179,0.009275063,0.00007746886],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.744482,0.0008689978,0.00002500359,0.2535705,0.000372471,0.0003503557,0.0002952553,0.000006526704,0.0000289016],"genre_scores_gemma":[0.9883067,0.002618538,0.00002467034,0.008340511,0.0004586543,0.00001942224,0.0000155329,0.000007906025,0.0002080694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.24523,"threshold_uncertainty_score":0.7852475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05678972530523235,"score_gpt":0.3525939449179522,"score_spread":0.2958042196127198,"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."}}