{"id":"W2917170827","doi":"10.3968/10632","title":"Effect of Bank Diversification on Economic Growth in Nigeria","year":2018,"lang":"en","type":"article","venue":"Canadian social science","topic":"Economic Growth and Development","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Loan; Economics; Panel data; Gross domestic product; Monetary economics; Business; Finance; Economic growth; Econometrics","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":[0.0005940435,0.0001609746,0.0001726672,0.0005330503,0.0004218905,0.001051633,0.0001155734,0.0002380092,0.001500721],"category_scores_gemma":[0.002332633,0.0000823651,0.0002073632,0.0007050514,0.0005007137,0.000535852,0.0008514646,0.0005750591,0.0001481272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008477273,"about_ca_system_score_gemma":0.0009479549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007419374,"about_ca_topic_score_gemma":0.01012985,"domain_scores_codex":[0.9996728,0.0001236777,0.00003163497,0.00003669798,0.00003994652,0.00009531168],"domain_scores_gemma":[0.9981074,0.0004223859,0.0008200937,0.00006604526,0.0002378427,0.0003462826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001721551,0.0000771023,0.9866843,0.00002655538,0.00003454008,0.0005221192,0.0005605606,0.0008513795,0.0003254895,0.0009596608,0.0003430722,0.00944303],"study_design_scores_gemma":[0.000006314528,0.00005746146,0.9944618,0.00006141179,0.00002511912,0.0002185223,0.002143638,0.0009340869,0.0002806826,0.0005273354,0.001278444,0.000005180249],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965951,0.0004411502,0.00005150256,0.0003303983,0.000007058291,0.000004120513,0.00007661428,0.000001681687,0.002492528],"genre_scores_gemma":[0.9994493,0.0002434089,0.00002631622,0.00002254288,0.000003935726,0.00000163954,0.00004092268,4.770345e-7,0.0002115164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007419374,"threshold_uncertainty_score":0.01475239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00711105477446716,"score_gpt":0.2139888756050064,"score_spread":0.2068778208305393,"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."}}