{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003073528,0.00009901251,0.0001321783,0.002224824,0.0007740938,0.0009299723,0.0002047118,0.0001920474,0.001846608],"category_scores_gemma":[0.0008478784,0.00009706541,0.00009202276,0.002177507,0.0004197661,0.0003346836,0.001131065,0.0001485634,0.0001824882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006949939,"about_ca_system_score_gemma":0.0005259016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05113881,"about_ca_topic_score_gemma":0.1280584,"domain_scores_codex":[0.999787,0.00005143272,0.00002278738,0.00004109853,0.00003551409,0.0000621399],"domain_scores_gemma":[0.999553,0.00005625579,0.0001599479,0.00002008008,0.00009718443,0.000113451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001228503,0.00003327152,0.9752354,0.00003629073,0.00002414139,0.0001742098,0.01082419,0.0002614628,0.0005295826,0.0009386767,0.00122407,0.01059578],"study_design_scores_gemma":[0.000003782599,0.00002899388,0.9895368,0.00002268296,0.000005916379,0.00006860335,0.008923215,0.0001856386,0.00005428085,0.0000846402,0.001079822,0.00000565995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988952,0.00008803632,0.00001925465,0.00003558811,0.000002003108,0.000003618315,0.0001804339,0.000003595756,0.0007722497],"genre_scores_gemma":[0.9989864,0.0001221316,0.00005627675,0.00001134068,0.00000345509,0.0000111534,0.0003288492,0.000002011319,0.0004784224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05113881,"threshold_uncertainty_score":0.1016823,"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."}}