{"id":"W2132912570","doi":"10.29173/cjs4562","title":"Income and Area Effects on Voluntary Association Membership in Canada","year":2010,"lang":"en","type":"article","venue":"The Canadian Journal of Sociology","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Odds; Poverty; Voluntary association; Economic inequality; Disadvantage; Association (psychology); Demographic economics; Inequality; Household income; Survey data collection; General Social Survey; Economics; Logistic regression; Psychology; Social psychology; Geography; Economic growth; Political science; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001368387,0.00005656218,0.0001505284,0.00005620796,0.0004257745,0.0000187051,0.0001821217,0.0001670952,0.0001032566],"category_scores_gemma":[0.0007355391,0.00004351587,0.00003052177,0.00008798377,0.0002500965,0.00005061756,0.00000568955,0.0007307705,0.000002144768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001437897,"about_ca_system_score_gemma":0.004643219,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.987114,"about_ca_topic_score_gemma":0.9999488,"domain_scores_codex":[0.9989886,0.0003572844,0.0001421497,0.00005509284,0.0001504513,0.0003064626],"domain_scores_gemma":[0.9982808,0.001186038,0.0001563854,0.00004371819,0.00007033212,0.00026275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009152406,0.000001835222,0.9587309,0.000002125515,0.00002326281,0.00005509594,0.02682699,0.000005617404,0.000008853238,0.01005877,0.002580603,0.00169679],"study_design_scores_gemma":[0.0002278812,0.00005166546,0.9576239,0.0000157752,0.00001297311,0.000005290012,0.005730482,0.000004651226,0.000007282486,0.03246349,0.003778819,0.00007779196],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818071,0.000219526,1.033287e-7,0.01342714,0.001573355,0.00006460927,0.00000234233,0.000001475054,0.002904317],"genre_scores_gemma":[0.9979055,0.00002455365,0.000004217011,0.00127338,0.0006742569,0.000001344935,4.754013e-7,0.000004018044,0.0001122362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02240472,"threshold_uncertainty_score":0.823687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01006411280045493,"score_gpt":0.2258667068529354,"score_spread":0.2158025940524805,"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."}}