{"id":"W2921821118","doi":"10.1093/acrefore/9780199329175.013.134","title":"Ethnicity and US Neighborhoods","year":2018,"lang":"en","type":"reference-entry","venue":"Oxford Research Encyclopedia of American History","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Immigration; Ethnic group; Chinatown; German; Politics; Geography; Political science; Development economics; Gender studies; Sociology; Law","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":[0.0004048235,0.0001096998,0.0001540587,0.001231754,0.002466283,0.002561676,0.0002946305,0.0003205762,0.01363267],"category_scores_gemma":[0.001773836,0.00005962165,0.0001234405,0.00265899,0.0008186802,0.00130076,0.00192709,0.0004222113,0.0007758992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001392348,"about_ca_system_score_gemma":0.0008764735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03655182,"about_ca_topic_score_gemma":0.0552168,"domain_scores_codex":[0.9996406,0.0001920077,0.00002060142,0.00003200868,0.00005597397,0.00005877317],"domain_scores_gemma":[0.9992455,0.0001119082,0.0001846815,0.00003917716,0.0001520275,0.0002668199],"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":[0.0001743795,0.0004349014,0.5138689,0.0002076043,0.00006341283,0.0006373918,0.04861648,0.0005888294,0.0001900728,0.2522361,0.0706424,0.1123395],"study_design_scores_gemma":[0.00002016523,0.00009290844,0.5369576,0.0008557772,0.00006403939,0.0004460069,0.123893,0.0006362183,0.0001872048,0.0290472,0.3077635,0.0000363499],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6796033,0.007055048,0.0002757547,0.01192862,0.0004075461,0.00001791314,0.001498206,0.00002292018,0.2991905],"genre_scores_gemma":[0.9875066,0.002181343,0.00009629305,0.000433751,0.00006321644,0.00001972075,0.0003773595,0.00001201273,0.009309681],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03655182,"threshold_uncertainty_score":0.07267815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06065642964791518,"score_gpt":0.3547210363198129,"score_spread":0.2940646066718977,"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."}}