{"id":"W2108052156","doi":"10.1177/0042098010379278","title":"Explaining Ethnic Enclave, Ethnic Entrepreneurial and Employment Niches","year":2010,"lang":"en","type":"article","venue":"Urban Studies","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnic group; Metropolitan area; Economic geography; Census; Ecological niche; Niche; Geography; Demographic economics; Economic growth; Regional science; Sociology; Ecology; Economics; Population; Demography; Anthropology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008234126,0.0001412235,0.0002371454,0.00006045398,0.0007070359,0.00004756682,0.000153728,0.0001028403,0.0001867833],"category_scores_gemma":[0.000621149,0.0001306525,0.00005966984,0.0001425238,0.0004946852,0.0002125741,0.0001196761,0.0002204141,0.00004133822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003609557,"about_ca_system_score_gemma":0.0000635358,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007927541,"about_ca_topic_score_gemma":0.07177593,"domain_scores_codex":[0.9987739,0.0001247006,0.0002402853,0.0003213005,0.000197909,0.0003419259],"domain_scores_gemma":[0.9991004,0.0004243893,0.00009769726,0.0001816761,0.00008435184,0.0001114643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002364663,0.00007899894,0.1406449,0.00002766048,0.0002035838,0.000004694838,0.7811214,0.000002500081,0.001037941,0.01590523,0.03499871,0.02595071],"study_design_scores_gemma":[0.002075354,0.0003095738,0.3118386,0.0001079269,0.000259985,0.000005322153,0.2621578,0.00003947676,0.002842887,0.02340039,0.3954884,0.001474261],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779136,0.00981903,0.000009283177,0.001134387,0.001345516,0.00022045,0.000003157989,0.0001041423,0.009450424],"genre_scores_gemma":[0.9882603,0.004737955,0.0001644465,0.0002299875,0.001264705,0.00005306639,0.000001876146,0.00001067828,0.005276938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5189636,"threshold_uncertainty_score":0.9451618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08944031574718965,"score_gpt":0.359036910996248,"score_spread":0.2695965952490584,"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."}}