{"id":"W2626087272","doi":"","title":"Financial Development and Inclusive Growth in Nigeria: A Multivariate Approach","year":2017,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"Economic Growth and Development","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inefficiency; Nexus (standard); Inclusive growth; Economics; Finance; Financial sector development; Private sector; Financial sector; Macroeconomics; Economic policy; Development economics; Economic growth; Market economy; Poverty","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":[0.001705166,0.000771524,0.0008732358,0.002316463,0.001058082,0.002625729,0.0006784908,0.0008161324,0.0062245],"category_scores_gemma":[0.004407361,0.0002803879,0.001096037,0.0016517,0.001392548,0.002114715,0.002446912,0.001759175,0.0002204092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001396221,"about_ca_system_score_gemma":0.002187756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02200787,"about_ca_topic_score_gemma":0.01734663,"domain_scores_codex":[0.9985716,0.0008208281,0.00005089961,0.0001203772,0.0001090662,0.0003271905],"domain_scores_gemma":[0.9954347,0.003194403,0.0006801094,0.00009246052,0.0002617985,0.0003365174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006283228,0.001514455,0.7110403,0.0003180877,0.00079954,0.003157614,0.002960912,0.09257361,0.0006374529,0.1165839,0.002664292,0.06712153],"study_design_scores_gemma":[0.00006726305,0.0009445166,0.2144765,0.0004180704,0.0005960571,0.0005794056,0.01022635,0.7083598,0.0005332985,0.05837181,0.005300562,0.0001263482],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702863,0.001258976,0.01551434,0.002009313,0.0000706548,0.0001031665,0.0003198902,0.00003944766,0.01039788],"genre_scores_gemma":[0.9963319,0.0006681634,0.001451826,0.00003693603,0.00003307642,0.00004169377,0.00007725525,0.000005153,0.001354095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02200787,"threshold_uncertainty_score":0.04375958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01657179228425668,"score_gpt":0.2377713152739785,"score_spread":0.2211995229897219,"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."}}