{"id":"W2122782369","doi":"","title":"COMMERCIAL BANKING CRISES IN KENYA: CAUSES AND REMEDIES","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":137,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Business; Loan; Debt; Recession; Financial system; Bad debt; Sample (material); Finance; National bank; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0006373488,0.0003100531,0.0002781026,0.001501873,0.002003188,0.001692797,0.0004544355,0.001236899,0.004727016],"category_scores_gemma":[0.003163161,0.0003102134,0.0001687916,0.001416992,0.001156238,0.001596084,0.001317827,0.001005627,0.0003109453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001580459,"about_ca_system_score_gemma":0.003002488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01312999,"about_ca_topic_score_gemma":0.02914219,"domain_scores_codex":[0.9994864,0.000133075,0.00005489408,0.00004813099,0.00007852467,0.0001988667],"domain_scores_gemma":[0.9974504,0.0003836463,0.001321303,0.00004716359,0.0004017929,0.000395648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003740061,0.0004331045,0.8130627,0.001469091,0.00006662471,0.01539425,0.01434836,0.0005478772,0.002680227,0.006568307,0.01572753,0.1293279],"study_design_scores_gemma":[0.00002195343,0.0000932555,0.9379245,0.0009705707,0.00002984254,0.003745638,0.04221821,0.0005939901,0.0004379169,0.002061619,0.01185545,0.00004711387],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.94436,0.02203411,0.0002133079,0.01741396,0.0001353383,0.0001194434,0.0005586591,0.00003187061,0.01513347],"genre_scores_gemma":[0.9925421,0.006038483,0.0001412221,0.0003753449,0.00005720409,0.00001752993,0.0001249197,0.00000275511,0.0007004311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01312999,"threshold_uncertainty_score":0.02610713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02207297414762334,"score_gpt":0.2390672558393595,"score_spread":0.2169942816917362,"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."}}