{"id":"W240070756","doi":"","title":"The Structure of Income Residential Segregation in Canadian Metropolitan Areas","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Regional Science","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Index of dissimilarity; Economic geography; Geography; Context (archaeology); Centralisation; Demographic economics; Economic growth; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005688349,0.0002733076,0.000395199,0.005495776,0.004272779,0.002053999,0.001157422,0.0002271352,0.002700941],"category_scores_gemma":[0.003683078,0.0002084374,0.0003810512,0.008470933,0.002213192,0.0003947332,0.002349677,0.0003134222,0.0001365794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04747581,"about_ca_system_score_gemma":0.03157115,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.98931,"about_ca_topic_score_gemma":0.9947953,"domain_scores_codex":[0.9985396,0.00009921974,0.00005217535,0.0001813592,0.0006709911,0.0004566925],"domain_scores_gemma":[0.9984943,0.00009040002,0.0002023711,0.00005777859,0.0009155425,0.0002396106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001604891,0.0000264103,0.8671457,0.0001554944,0.0001150182,0.0003218977,0.01810995,0.002921498,0.002012414,0.02866105,0.006338575,0.07403153],"study_design_scores_gemma":[0.000002329143,0.000006174213,0.9881089,0.00003375614,0.00001571805,0.0000593875,0.004869276,0.00156965,0.0001106155,0.0008592951,0.004344015,0.00002083261],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725689,0.0009286978,0.001058082,0.0007957866,0.00001075078,0.0000816259,0.002292814,0.00004444658,0.02221894],"genre_scores_gemma":[0.9975564,0.0002078241,0.0006565168,0.00001881746,0.00000168919,0.00001145307,0.0006308743,0.000004871547,0.0009115468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04747581,"threshold_uncertainty_score":0.3444628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02551287256946871,"score_gpt":0.2735626710608818,"score_spread":0.2480497984914131,"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."}}