{"id":"W2096844988","doi":"10.1016/s0277-9536(01)00049-1","title":"Social capital and health (plus wealth, income inequality and regional health governance)","year":2002,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":170,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Social capital; Demographic economics; Inequality; Economic inequality; Population; Health equity; Population health; Social inequality; Economics; Social determinants of health; Income distribution; Economic growth; Demography; Health care; Political science; Sociology","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":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.006125585,0.0001807109,0.0005856919,0.00008532766,0.006317258,0.00008301184,0.0003241488,0.0001130304,0.0002017994],"category_scores_gemma":[0.0004027883,0.0001582745,0.00004126241,0.0008744824,0.005029397,0.0004411546,0.00008944781,0.0003244432,0.000005601443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001266323,"about_ca_system_score_gemma":0.001673609,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08196385,"about_ca_topic_score_gemma":0.01262122,"domain_scores_codex":[0.9958037,0.0003465379,0.0005627436,0.00050178,0.001509808,0.001275444],"domain_scores_gemma":[0.9982815,0.0001508555,0.0003989207,0.0001083645,0.0001224531,0.0009378539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00001021631,0.00003958284,0.05577683,0.0002162583,0.000004932376,0.000002879473,0.422201,4.921214e-8,0.000001018294,0.4117743,0.03287813,0.07709473],"study_design_scores_gemma":[0.00121192,0.0001871066,0.8754431,0.0001333695,0.000005509334,0.000004890075,0.03937387,0.00003166553,1.716101e-7,0.00709255,0.07625401,0.0002618108],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3460531,0.004816176,0.00002082897,0.6411782,0.0006049506,0.0004496477,0.00001591681,0.00007979811,0.006781396],"genre_scores_gemma":[0.9575989,0.004375387,0.00002832639,0.03550887,0.001992075,0.0000103964,0.000002538229,0.000009591477,0.0004738689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8196663,"threshold_uncertainty_score":0.9976783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08892683299859476,"score_gpt":0.4159603769567283,"score_spread":0.3270335439581335,"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."}}