{"id":"W2623283223","doi":"10.1177/0042098017708939","title":"Co-ethnic concentration and trust in Canada’s urban neighbourhoods","year":2017,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Ethnic group; Racial diversity; Diversification (marketing strategy); Diversity (politics); Sociology; Population; Demographic economics; Cultural diversity; Social psychology; Demography; Psychology; Economics; Business; Anthropology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006412205,0.0001649871,0.0003776291,0.001201347,0.006783976,0.002457276,0.0006553989,0.00030234,0.002926828],"category_scores_gemma":[0.00472574,0.0001858832,0.0002640603,0.002469647,0.001390717,0.0005859128,0.002039657,0.000580231,0.0001464765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01688736,"about_ca_system_score_gemma":0.01306656,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9775449,"about_ca_topic_score_gemma":0.98816,"domain_scores_codex":[0.9991223,0.0001264708,0.00004438993,0.0001025232,0.0003145519,0.0002897315],"domain_scores_gemma":[0.9951999,0.0005285504,0.0009510315,0.0001978523,0.001239932,0.001882743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001003099,0.00007095905,0.9710949,0.00002409853,0.00004908477,0.000191651,0.01775333,0.0002635041,0.0001507652,0.001357179,0.001215723,0.007728429],"study_design_scores_gemma":[0.000006440294,0.00003576742,0.9649178,0.00005359278,0.00002148584,0.00008293032,0.03129176,0.0006435632,0.00008066911,0.0002488447,0.002594027,0.00002308772],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952952,0.0001208152,0.00005427766,0.000215349,0.000005930793,0.000006608401,0.0001557433,0.000002482825,0.004143538],"genre_scores_gemma":[0.9992576,0.00006015719,0.00002967538,0.00001254797,0.000001295964,0.000002410061,0.00005759096,0.000001055705,0.000577625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0224551,"threshold_uncertainty_score":0.1225269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07694244287459379,"score_gpt":0.3578381442397687,"score_spread":0.2808957013651749,"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."}}