{"id":"W7100767880","doi":"","title":"SUMMARY","year":2014,"lang":"en","type":"article","venue":"","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnic group; Immigration; Globalization; Social capital; Population; Financial capital; Financial services","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008950249,0.000598592,0.0004982245,0.001308794,0.001908916,0.004043443,0.001266122,0.001929003,0.5648637],"category_scores_gemma":[0.003560269,0.0002409677,0.0004736649,0.00144052,0.0004593597,0.002369231,0.002387183,0.001629303,0.3339579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001801472,"about_ca_system_score_gemma":0.003660262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005086601,"about_ca_topic_score_gemma":0.00616143,"domain_scores_codex":[0.9990227,0.000117054,0.0000746767,0.0001835291,0.0004337529,0.0001682729],"domain_scores_gemma":[0.998107,0.0001774485,0.00009050407,0.0001779477,0.0009889045,0.000458245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006530083,0.00003539874,0.0005893558,0.0001921769,0.000004076226,0.0001507394,0.0001643588,0.00006178474,0.0002076038,0.01014121,0.8810778,0.1073102],"study_design_scores_gemma":[0.000005025849,0.00001489206,0.0006847238,0.00009850984,0.00000164323,0.00008700721,0.0001309477,0.00002147558,0.00006645776,0.001001361,0.9978843,0.000003573884],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002760512,0.005190931,0.00192262,0.03043931,0.01832139,0.0004223941,0.01065642,0.0008897437,0.9293967],"genre_scores_gemma":[0.01073192,0.003436195,0.0009572237,0.007503278,0.002438998,0.0001827929,0.005632076,0.0002163133,0.9689013],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4351363,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02475903737671107,"score_gpt":0.2871107062362848,"score_spread":0.2623516688595737,"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."}}