{"id":"W3089475202","doi":"10.5539/ibr.v13n10p130","title":"Financial and Non-Financial Measures in Evaluating Performance: The Role of Strategic Intelligence in the Context of Commercial Banks in Kenya","year":2020,"lang":"en","type":"article","venue":"International Business Research","topic":"Competitive and Knowledge Intelligence","field":"Business, Management and Accounting","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kenya; Balanced scorecard; Context (archaeology); Finance; Population; Business; Data collection; Descriptive statistics; Sample (material); Marketing; Accounting; Statistics; Geography; Mathematics","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":[0.002318921,0.0001118032,0.0001987682,0.0004061939,0.00007116972,0.00009472552,0.0008195651,0.00005748415,0.00008037707],"category_scores_gemma":[0.001912638,0.00007909058,0.0000314225,0.001645935,0.0002854017,0.0003619532,0.0003166981,0.0004919687,0.00001828113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003746021,"about_ca_system_score_gemma":0.0001911551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002949506,"about_ca_topic_score_gemma":0.005856097,"domain_scores_codex":[0.9981948,0.00008928173,0.0004885533,0.0002209654,0.0007739837,0.0002324095],"domain_scores_gemma":[0.9982569,0.0004142274,0.0001190798,0.0001202467,0.001082967,0.000006536321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007518107,0.0002605594,0.7337939,0.0002218125,0.000006946768,0.00001557232,0.003988564,0.0006943003,0.002300451,0.03684325,0.00004768772,0.2210752],"study_design_scores_gemma":[0.0003371696,0.00003947628,0.9507945,0.0003330281,0.000002812762,0.000001003537,0.003123754,0.03756493,0.001053166,0.005830513,0.0008192262,0.0001004932],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880869,0.0002721675,0.00006544339,0.001939312,0.0001143799,0.0003402442,0.000003662713,0.000002942971,0.009174887],"genre_scores_gemma":[0.9991651,0.0001072541,0.00001104357,0.0002435929,0.0004130081,0.00004177635,0.000005397158,0.000007081984,0.000005801564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2209747,"threshold_uncertainty_score":0.4458791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1440111079337698,"score_gpt":0.3667689128503172,"score_spread":0.2227578049165473,"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."}}