{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006502365,0.0004710076,0.0008721963,0.003918034,0.0003937009,0.002017227,0.0003274254,0.0004635864,0.0009369709],"category_scores_gemma":[0.01728046,0.0001884527,0.001197246,0.007691428,0.0005303432,0.001842804,0.001647301,0.0006854208,0.0001264918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001303234,"about_ca_system_score_gemma":0.001126445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008867323,"about_ca_topic_score_gemma":0.004693752,"domain_scores_codex":[0.9976794,0.001193689,0.0002246031,0.0001571734,0.0004610174,0.0002842023],"domain_scores_gemma":[0.9939122,0.003713102,0.001187677,0.0004643041,0.0006199336,0.000102777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002313009,0.0002951559,0.3991202,0.0003523251,0.0007116607,0.0004288894,0.001244074,0.4827355,0.001197666,0.0378258,0.001474287,0.07438313],"study_design_scores_gemma":[0.0000187082,0.0003063385,0.2912708,0.000269462,0.0001860729,0.0001634563,0.002512807,0.6754248,0.004154095,0.01952855,0.006068772,0.00009608531],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9671293,0.0004512978,0.02786147,0.0002025453,0.000009917503,0.00006532967,0.001094846,0.00003613408,0.003149222],"genre_scores_gemma":[0.9890944,0.0002540886,0.009458025,0.00001203026,0.000005101041,0.00007038446,0.000851156,0.00001086557,0.0002440035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008867323,"threshold_uncertainty_score":0.03438818,"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."}}