{"id":"W2161362441","doi":"","title":"Neighbourhood Inequality in Canadian Cities","year":2000,"lang":"en","type":"article","venue":"Analytical Studies Branch Research Paper Series","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Economic inequality; Inequality; Demographic economics; Earnings; Income inequality metrics; Economics; Census tract; Social inequality; Labour economics; Geography; Socioeconomic status; Sociology; Population; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.003688869,0.0002296588,0.0005528405,0.0003530446,0.002536791,0.0002239972,0.0004407488,0.0001585269,0.006459591],"category_scores_gemma":[0.003729013,0.0001998004,0.0001184119,0.001854426,0.002944249,0.0007904766,0.0001101706,0.0005651171,0.0004061962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006713003,"about_ca_system_score_gemma":0.0008491923,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5889132,"about_ca_topic_score_gemma":0.9691557,"domain_scores_codex":[0.9946938,0.001105952,0.0004971699,0.0005173798,0.001320971,0.00186476],"domain_scores_gemma":[0.9969853,0.001397628,0.00002923356,0.000332588,0.0006560382,0.0005992103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001910899,0.0001832396,0.4192215,0.00009304344,0.0005190959,0.0001214586,0.09716827,0.00001901357,0.000006684428,0.4048302,0.03677725,0.0408691],"study_design_scores_gemma":[0.0003995214,0.0001237038,0.2238891,0.00006096135,0.00001586003,0.000001040126,0.04876487,0.00002055445,0.000006209904,0.02716623,0.6992114,0.0003405405],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3321683,0.008066189,0.000001290471,0.04808027,0.0001887202,0.0005391712,0.00003613275,0.0001065024,0.6108134],"genre_scores_gemma":[0.9535445,0.01530156,0.00002142756,0.0008057482,0.0004296635,0.0001041395,0.00000491001,0.00001674923,0.02977133],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6624342,"threshold_uncertainty_score":0.9997692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1639911430226249,"score_gpt":0.4447958811205407,"score_spread":0.2808047380979158,"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."}}