{"id":"W2128716804","doi":"10.1080/00420980120080844","title":"Immigrant Settlement Patterns in Metropolitan Chicago","year":2001,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Metropolitan area; Microdata (statistics); Immigration; Geography; Demographic economics; Census; Population; Cohort effect; Cohort; Public use; Distribution (mathematics); Demography; Settlement (finance); Economic geography; Socioeconomics; Regional science; Economic growth; Political science; Sociology; Economics; Statistics; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005349714,0.0001817142,0.0003654456,0.0001713375,0.0006785462,0.00003991185,0.0001930796,0.00005325358,0.0001945093],"category_scores_gemma":[0.0003274075,0.0001532795,0.00009376115,0.0004957645,0.0003431305,0.0001437701,0.00009998256,0.0001264485,0.00007719309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004657569,"about_ca_system_score_gemma":0.00004190879,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00538591,"about_ca_topic_score_gemma":0.05084522,"domain_scores_codex":[0.9981371,0.000184021,0.0003450619,0.0003075972,0.0004783121,0.0005479413],"domain_scores_gemma":[0.9992194,0.0002796615,0.00008999441,0.0001813813,0.000144843,0.00008467883],"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":[0.0000161313,0.000100579,0.8627293,0.00001312114,0.0001945222,0.00002728307,0.08300678,0.000001441686,0.000005261621,0.02454104,0.02691686,0.002447711],"study_design_scores_gemma":[0.0009063449,0.00009116131,0.1933596,0.00007260199,0.00005496448,0.000001063712,0.3343905,0.000008400467,0.00002727764,0.003688013,0.4669901,0.0004099828],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7727429,0.05335349,0.0002011491,0.0233656,0.001794469,0.0009898809,0.0001064209,0.0003708053,0.1470752],"genre_scores_gemma":[0.9826094,0.009406686,0.0000597626,0.0004807248,0.0004504929,0.0000697068,0.000004828433,0.00001199145,0.006906414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6693697,"threshold_uncertainty_score":0.9664744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05594819776980719,"score_gpt":0.3448621323413763,"score_spread":0.2889139345715691,"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."}}