{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001850265,0.00008459652,0.0001614704,0.0006952822,0.0003568514,0.00006207383,0.0003723853,0.00008795958,0.00004781426],"category_scores_gemma":[0.001192953,0.00006913774,0.00005080135,0.001303711,0.0001240931,0.0001665579,0.00101691,0.0002159905,0.0001822609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002082395,"about_ca_system_score_gemma":0.00007925098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004222566,"about_ca_topic_score_gemma":0.0005080624,"domain_scores_codex":[0.9988977,0.00002960258,0.0003943981,0.0002489045,0.0001715846,0.0002578204],"domain_scores_gemma":[0.9992167,0.0002208126,0.0001193672,0.000175495,0.0002419399,0.00002566342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001198235,0.0004795826,0.6383534,0.00006758427,0.00003862983,0.00006186978,0.002891381,0.001724274,0.01054138,0.2559764,0.03233282,0.05633442],"study_design_scores_gemma":[0.0003326687,0.00007479365,0.9005107,0.00005397117,1.887724e-7,0.000001148519,0.00001810621,0.002002484,0.0002625421,0.08220218,0.01446777,0.00007339865],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894278,0.0004919116,0.0000686755,0.003879827,0.0002752835,0.0001756715,0.00006812227,0.00001095318,0.005601736],"genre_scores_gemma":[0.9957502,0.003241283,0.00001264369,0.00002141913,0.0001242157,0.00002707416,0.00002915555,0.00001073099,0.0007833173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2621574,"threshold_uncertainty_score":0.6383284,"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."}}