{"id":"W3120097200","doi":"10.1016/j.socscimed.2021.113693","title":"The effect of mental health on social capital: An instrumental variable analysis","year":2021,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mental health; Social capital; Instrumental variable; Psychology; Mental distress; Social determinants of health; Social support; Psychiatry; Public health; Social psychology; Medicine; Sociology; Economics; Social science; Nursing; Econometrics","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":[0.0137992,0.001451929,0.002568432,0.001993883,0.001331517,0.002737532,0.002517182,0.002101836,0.006455824],"category_scores_gemma":[0.04025238,0.0008267318,0.002943626,0.002106607,0.003095524,0.002211802,0.003253654,0.003541408,0.0004240691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001549285,"about_ca_system_score_gemma":0.003543145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02574717,"about_ca_topic_score_gemma":0.01760544,"domain_scores_codex":[0.9912999,0.006731966,0.0001831765,0.0005948085,0.0003910446,0.0007990631],"domain_scores_gemma":[0.9287446,0.06303447,0.003107151,0.003275561,0.000876846,0.0009613541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002401523,0.002287203,0.521031,0.0004817225,0.01100781,0.001439677,0.001646696,0.1724612,0.001063783,0.2113616,0.01027899,0.06453884],"study_design_scores_gemma":[0.0008887985,0.00117394,0.1884161,0.00031939,0.0055345,0.0002822126,0.001425624,0.6253244,0.001921028,0.1649636,0.009468386,0.0002820981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8620226,0.002461302,0.1189564,0.007341029,0.0002708417,0.0002951051,0.002732113,0.0003838082,0.005536764],"genre_scores_gemma":[0.9878328,0.0006432521,0.005811374,0.0002093512,0.0001666673,0.0001280859,0.000478731,0.00002718704,0.004702542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02574717,"threshold_uncertainty_score":0.07297802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02082570772384414,"score_gpt":0.3956034640738149,"score_spread":0.3747777563499708,"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."}}