{"id":"W2163654051","doi":"10.2747/0272-3638.31.1.29","title":"Residential Segregation in the Industrializing City: A Closer Look","year":2009,"lang":"en","type":"article","venue":"Urban Geography","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Western University","funders":"","keywords":"Economic geography; Index of dissimilarity; Socioeconomic status; Geography; Ethnic group; GRASP; Identity (music); Meaning (existential); Unit (ring theory); Sociology; Geographic information system; Regional science; Cartography; Demography; Economic growth; Psychology; Anthropology; Computer science; Aesthetics; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00114391,0.0001254313,0.0001585094,0.0002878978,0.0007004107,0.0002361633,0.0003223287,0.0001382872,0.00006552898],"category_scores_gemma":[0.0002009673,0.00009986392,0.0001370993,0.001221665,0.0002183897,0.0002907091,0.00002450645,0.0002528536,0.00001234081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003124774,"about_ca_system_score_gemma":0.00007048796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003622239,"about_ca_topic_score_gemma":0.002916787,"domain_scores_codex":[0.9981568,0.0004096258,0.0002685644,0.0002418991,0.0005721652,0.0003509242],"domain_scores_gemma":[0.9993545,0.0001833426,0.0001122318,0.0002049524,0.0000883965,0.00005654858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003473255,0.0001143712,0.8591831,0.000002122226,0.00003067472,0.000008989263,0.04843259,0.000008099294,0.00001575075,0.06252799,0.02226903,0.007372578],"study_design_scores_gemma":[0.0009733985,0.0001051231,0.8498348,0.00004288635,0.00005399093,7.716289e-7,0.01712398,0.00003111344,0.00003399505,0.0700698,0.06140545,0.0003247047],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.917592,0.001001,0.0001432129,0.01082732,0.0004601826,0.000621687,0.000004858933,0.0001404221,0.06920926],"genre_scores_gemma":[0.9977385,0.0000919076,0.00008580793,0.001192471,0.000561755,0.00001925486,0.000005622843,0.000004588961,0.0003000469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08014649,"threshold_uncertainty_score":0.5475765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03866158882457277,"score_gpt":0.3018733365391972,"score_spread":0.2632117477146245,"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."}}