{"id":"W4311788112","doi":"10.3390/jrfm15120605","title":"Financial Inclusion in West African Economic and Monetary Union’s Economies: Performance Analysis Using Data Envelopment Analysis","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Benchmarking; Data envelopment analysis; Financial inclusion; European union; Economics; Economic and monetary union; Finance; Business; Financial services; International economics; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003244202,0.0002718086,0.001108066,0.002776053,0.0009740645,0.00007463172,0.0007268589,0.00008998479,0.0001522465],"category_scores_gemma":[0.00004328377,0.0003175854,0.0002210349,0.001601728,0.00008256096,0.0005852745,0.004841009,0.0004371917,0.000005725408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005906771,"about_ca_system_score_gemma":0.0000880473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001907388,"about_ca_topic_score_gemma":0.001226397,"domain_scores_codex":[0.997239,0.00007961135,0.001520771,0.0006526203,0.0001241262,0.0003839014],"domain_scores_gemma":[0.9979623,0.00004774806,0.001361451,0.0005111534,0.00002353392,0.00009383769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003496603,0.0002994449,0.825748,0.00006304649,0.0006340836,0.0001010754,0.004416521,0.04978032,0.000005596605,0.007922208,0.0003372724,0.1103428],"study_design_scores_gemma":[0.001346928,0.0002084524,0.867004,0.00002137813,0.0009432451,0.00001292273,0.0004814783,0.03920205,0.000005129495,0.006276938,0.08399255,0.0005049801],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811503,0.005045536,0.01215529,0.0001475418,0.0004042702,0.0002192129,0.0004942633,0.000006663163,0.0003769456],"genre_scores_gemma":[0.9782271,0.01894448,0.002407141,0.0001390593,0.0001333277,0.000009666894,0.00006150836,0.00001631474,0.00006134052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1098378,"threshold_uncertainty_score":0.9999276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01832958428001647,"score_gpt":0.2140263006531101,"score_spread":0.1956967163730937,"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."}}