{"id":"W1979561885","doi":"10.1007/s12134-008-0089-1","title":"Global Banking and Financial Services to Immigrants in Canada and the US","year":2009,"lang":"en","type":"article","venue":"Journal of International Migration and Integration / Revue de l integration et de la migration internationale","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Royal Bank of Canada; Arizona State University; HSBC Bank USA","keywords":"Immigration; Financial services; Population; Business; Ethnic group; Finance; Resource (disambiguation); Financial system; Economics; Political science; Sociology; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006779562,0.0002680611,0.0004338029,0.001756051,0.005524867,0.003390078,0.001142572,0.001432831,0.005789667],"category_scores_gemma":[0.004936657,0.0002623544,0.0005692711,0.004984154,0.001889964,0.001242989,0.002873085,0.002576584,0.0002254236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02871092,"about_ca_system_score_gemma":0.06708697,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9892664,"about_ca_topic_score_gemma":0.9965819,"domain_scores_codex":[0.9984485,0.0001576743,0.00007091316,0.00006892359,0.0002247679,0.001029201],"domain_scores_gemma":[0.9956721,0.0002888078,0.0007073071,0.00003812698,0.001052579,0.002241068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000248859,0.0003119177,0.9561651,0.00006828953,0.00006303655,0.0007911476,0.01857002,0.0001821118,0.0001211415,0.001904459,0.006360079,0.01521385],"study_design_scores_gemma":[0.00003465091,0.00006605202,0.8546497,0.0002107377,0.00005856825,0.0001713782,0.1371692,0.0002460373,0.00008297818,0.0002861081,0.006979855,0.00004485978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98896,0.0008466144,0.00001597774,0.004834009,0.00005845501,0.00002760637,0.0006803935,0.000002513727,0.004574391],"genre_scores_gemma":[0.9951653,0.001010348,0.00003300834,0.001029636,0.00001970633,0.0000109216,0.0003648388,0.000004134403,0.002362005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02871092,"threshold_uncertainty_score":0.2083132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008623073558531183,"score_gpt":0.2765522187255191,"score_spread":0.2679291451669879,"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."}}