{"id":"W2297578365","doi":"10.5539/ibr.v9n2p74","title":"Board Size, Board Composition and Performance: An Investigation on Turkish Banks","year":2016,"lang":"en","type":"article","venue":"International Business Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Net interest margin; Return on assets; Business; Market liquidity; Turkish; Accounting; Panel data; Margin (machine learning); Financial system; Econometrics; Finance; Economics; Profitability index; Computer science","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":[0.0008625598,0.0002841739,0.0002574383,0.001584916,0.0004283587,0.000848232,0.0003802045,0.0004004249,0.002624392],"category_scores_gemma":[0.002821015,0.000185,0.0002926825,0.001940085,0.0004818121,0.0005240216,0.0006624622,0.0004332648,0.000700089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006568253,"about_ca_system_score_gemma":0.0004964494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01002754,"about_ca_topic_score_gemma":0.01251967,"domain_scores_codex":[0.9992919,0.0001532616,0.00008489553,0.000132728,0.0001436256,0.0001934731],"domain_scores_gemma":[0.9930484,0.0009939128,0.004057578,0.0002175814,0.0008691681,0.0008132778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007667652,0.00008546977,0.9953588,0.00001017448,0.0000242421,0.0001138836,0.0003963519,0.00009138246,0.0001471933,0.00003349848,0.0003031143,0.003359183],"study_design_scores_gemma":[0.000003220674,0.00006445563,0.9986695,0.000005337741,0.00001555026,0.00008447393,0.0005926582,0.0001610175,0.00005505391,0.00001459016,0.0003316577,0.000002568916],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993321,0.0001012827,0.00003588025,0.00003121161,0.000002996242,0.000004488487,0.0001352251,0.000001431114,0.0003553829],"genre_scores_gemma":[0.999326,0.0000709317,0.00003599488,0.00001935571,0.000008839721,0.000005290105,0.0003190458,0.000001312398,0.000213397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01002754,"threshold_uncertainty_score":0.01993841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05688213924977374,"score_gpt":0.2974435355592577,"score_spread":0.240561396309484,"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."}}