{"id":"W4383068936","doi":"10.3390/su151310501","title":"Board Gender Diversity and Banks Profitability for Business Viability: Evidence from Serbia","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Workplace Health, Safety and Compensation Commission","funders":"","keywords":"Profitability index; Corporate governance; Business; Return on assets; Panel data; Accounting; Return on equity; Gender diversity; Equity (law); Pandemic; Sample (material); Coronavirus disease 2019 (COVID-19); Finance; Economics; Political science; Medicine","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":[0.001168934,0.0002360087,0.0002675109,0.001194224,0.0005747645,0.001154626,0.0001874877,0.0002913476,0.003002664],"category_scores_gemma":[0.002505876,0.0001324072,0.000294083,0.001152258,0.0007793746,0.0005314155,0.0007941501,0.0005128124,0.0002422931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004748989,"about_ca_system_score_gemma":0.0007726866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01371044,"about_ca_topic_score_gemma":0.02804958,"domain_scores_codex":[0.9995368,0.0001865152,0.00002787513,0.00005144064,0.00007136243,0.0001260287],"domain_scores_gemma":[0.9973585,0.0007997089,0.001210955,0.00007795032,0.0002226754,0.0003301611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001448028,0.0001123742,0.9733496,0.0001437849,0.00009721841,0.0004251614,0.002829199,0.0002084787,0.0002036469,0.00132217,0.001312119,0.01985152],"study_design_scores_gemma":[0.000003891277,0.00005692269,0.9927827,0.0001914648,0.00003119543,0.0000816305,0.004893341,0.0001332466,0.00004997345,0.00009961169,0.001671372,0.000004577705],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944267,0.002381999,0.00005786747,0.000388497,0.00002124323,0.000004004261,0.0001631431,0.000001405613,0.00255519],"genre_scores_gemma":[0.998946,0.0007783382,0.00001972586,0.00003482571,0.00001187784,0.000001321629,0.00007384628,6.576756e-7,0.0001333855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01371044,"threshold_uncertainty_score":0.02726126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1551613245471288,"score_gpt":0.3394539113076726,"score_spread":0.1842925867605438,"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."}}