{"id":"W4389205751","doi":"10.5539/ibr.v16n12p74","title":"The Impact of Migration on Financial Inclusion in Bosnia and Herzegovina","year":2023,"lang":"en","type":"article","venue":"International Business Research","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Financial inclusion; Socioeconomic status; Inclusion (mineral); Demographic economics; Immigration; Emigration; Business; Finance; Geography; Financial services; Population; Psychology; Economics; Demography; Sociology; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001175875,0.0002200142,0.0002480848,0.001095085,0.001200641,0.001446166,0.0003157727,0.000262661,0.002313449],"category_scores_gemma":[0.002774902,0.00008613837,0.000283671,0.001185794,0.001155112,0.0009051231,0.002009395,0.0004390399,0.0001066086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158056,"about_ca_system_score_gemma":0.001368545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01484872,"about_ca_topic_score_gemma":0.02240474,"domain_scores_codex":[0.9991432,0.0003673261,0.00005262453,0.00004652681,0.0001156705,0.0002746403],"domain_scores_gemma":[0.999049,0.0002372663,0.0004097924,0.0000256358,0.00008625252,0.0001920911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003159173,0.0003939386,0.8741783,0.0003702336,0.0001266091,0.00170713,0.03123102,0.000433034,0.00106621,0.005298423,0.001179546,0.08369958],"study_design_scores_gemma":[0.000004495508,0.00007846225,0.9724427,0.0001474461,0.00001686963,0.0001576548,0.02476248,0.00009726819,0.00009495391,0.0002602205,0.00192778,0.000009701522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966473,0.0004176522,0.00003647328,0.0002955687,0.0000128518,0.000006207766,0.00003642249,0.000001114565,0.002546313],"genre_scores_gemma":[0.9995153,0.0002226434,0.00003782435,0.00003261058,0.000007723916,0.00000432356,0.00002356954,6.043028e-7,0.0001553883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01484872,"threshold_uncertainty_score":0.02952456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07499036029088901,"score_gpt":0.3686598805631575,"score_spread":0.2936695202722685,"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."}}