{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001458678,0.0003389935,0.0006272111,0.001578141,0.003582084,0.00180041,0.001495048,0.0003474263,0.005018316],"category_scores_gemma":[0.00518944,0.0002688402,0.000755699,0.003575972,0.0008881421,0.0004850955,0.002343318,0.0006950668,0.0003238042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02986379,"about_ca_system_score_gemma":0.03622968,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956203,"about_ca_topic_score_gemma":0.9974623,"domain_scores_codex":[0.9984047,0.0002269576,0.00005029954,0.0002376516,0.0003997367,0.000680621],"domain_scores_gemma":[0.9964104,0.0005514602,0.0004685702,0.0001895527,0.001325439,0.001054452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001892974,0.00006526546,0.9641336,0.00005024956,0.0001433008,0.0001890322,0.003343074,0.003463606,0.0001721685,0.002408647,0.003521668,0.02232015],"study_design_scores_gemma":[0.0000104903,0.00002443849,0.9854228,0.00005387675,0.00005127598,0.00004550648,0.00406641,0.006345615,0.0000883676,0.0003894747,0.003479611,0.00002211825],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909918,0.000423795,0.0004095518,0.0005606813,0.00001844602,0.00003004115,0.002592938,0.00003009061,0.004942662],"genre_scores_gemma":[0.9960218,0.0002469879,0.0003038403,0.00002766053,0.0000041179,0.00001423466,0.0009045593,0.00001030945,0.002466529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02986379,"threshold_uncertainty_score":0.216678,"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."}}