{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001191256,0.00008023907,0.0001486188,0.0007220785,0.001640364,0.0001471277,0.0007279136,0.00005817096,0.0001837595],"category_scores_gemma":[0.00135901,0.00006034094,0.00006097377,0.001559251,0.002361666,0.0005021907,0.000009644636,0.0001867483,0.000003310448],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001797613,"about_ca_system_score_gemma":0.006145588,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8845977,"about_ca_topic_score_gemma":0.9975642,"domain_scores_codex":[0.9980439,0.0001311592,0.0003424148,0.0001244594,0.0007803577,0.0005776917],"domain_scores_gemma":[0.9978119,0.000160423,0.0002626637,0.0001216192,0.0006695975,0.00097383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001010956,0.000008667657,0.4860153,0.000005435973,0.00003009984,0.00007812052,0.02178242,0.0001022744,0.0001778076,0.4741168,0.01345339,0.004219585],"study_design_scores_gemma":[0.0006341793,0.0001426656,0.6911418,0.0001753487,0.0000310674,0.00009426849,0.0326703,0.0003248987,0.0002255488,0.05345122,0.2207096,0.0003990839],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539109,0.002865965,0.00001244391,0.02294678,0.00106991,0.0001624374,0.00002366589,0.00000372582,0.01900421],"genre_scores_gemma":[0.9989019,0.0001549359,0.00007076404,0.0001499571,0.0001822909,3.281758e-7,2.953922e-7,0.000003641775,0.0005358589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4206656,"threshold_uncertainty_score":0.9996594,"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."}}