{"id":"W3107911972","doi":"10.1177/0042098020964439","title":"The representativeness of neighbourhood associations in Toronto and Vancouver","year":2020,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Winnipeg","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Neighbourhood (mathematics); Representativeness heuristic; Politics; Voting; Corporate governance; Geography; Population; Ideology; Demographic economics; Sociology; Political science; Demography; Social psychology; Psychology; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.002150536,0.0001167992,0.0003205613,0.001345078,0.003141896,0.001614184,0.0005556163,0.0002964473,0.002034035],"category_scores_gemma":[0.009553423,0.0001408899,0.0001548472,0.001947018,0.0009949309,0.0003874883,0.001483413,0.000309328,0.0002355453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004522819,"about_ca_system_score_gemma":0.004740187,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7196877,"about_ca_topic_score_gemma":0.9101087,"domain_scores_codex":[0.9973387,0.000785468,0.000121345,0.0004033526,0.0007775443,0.0005734943],"domain_scores_gemma":[0.9925711,0.001276821,0.001363031,0.0008580483,0.002618663,0.001312333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001290518,0.00002111995,0.9609268,0.00005739641,0.00005718933,0.000151463,0.02019664,0.0002438469,0.0004370561,0.00123679,0.002589898,0.01395263],"study_design_scores_gemma":[0.000003592853,0.00001683125,0.9735801,0.000030981,0.000012798,0.00005627956,0.02158241,0.0002956179,0.0001300983,0.0001803694,0.004100846,0.00001019122],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933268,0.0001000988,0.0001810485,0.000138762,0.000009668204,0.00002183219,0.0004367887,0.000003892236,0.005781129],"genre_scores_gemma":[0.9985612,0.00004415977,0.00009300868,0.00001737713,0.000002415576,0.00001195362,0.0002686326,0.000002317934,0.0009989996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2803123,"threshold_uncertainty_score":0.5639262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05771509115828632,"score_gpt":0.3664382422977789,"score_spread":0.3087231511394926,"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."}}