{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007411701,0.00005836368,0.00009004683,0.0002612612,0.0002158436,0.00005466924,0.0007624715,0.00003120069,0.0000203284],"category_scores_gemma":[0.00004649548,0.00006049913,0.00001833797,0.0003676062,0.0003183663,0.0002934973,0.00005139453,0.0000370759,0.0001744227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008062817,"about_ca_system_score_gemma":0.0007470234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005058143,"about_ca_topic_score_gemma":0.01058293,"domain_scores_codex":[0.999222,0.00002913922,0.000116183,0.0002640753,0.00008050698,0.000288059],"domain_scores_gemma":[0.9995764,0.00003561938,0.00004842103,0.0001272448,0.00003135142,0.0001809494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002123953,0.0000151746,0.4645752,0.00001705765,0.000005707816,0.000007578411,0.008434116,0.000002488842,0.0008154082,0.4498495,0.002900505,0.07335599],"study_design_scores_gemma":[0.001170329,0.0008643991,0.8918196,0.00003711698,0.000002948907,0.000002866702,0.0002759678,0.003044058,0.09298566,0.004833311,0.004278429,0.0006853441],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8937148,0.000002486389,0.0002405436,0.0003530908,0.0005225263,0.0001061177,0.000003299275,0.00001110174,0.1050461],"genre_scores_gemma":[0.9995384,6.849791e-7,0.0001566784,0.0002196134,0.00005539971,0.000004003606,4.336108e-7,0.000001593196,0.00002319563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4450162,"threshold_uncertainty_score":0.7646434,"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."}}