{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.005852437,0.0002093653,0.0003534981,0.00007781607,0.003845421,0.0001092859,0.0005106079,0.0002572568,0.0001537282],"category_scores_gemma":[0.01377665,0.0002223268,0.0001507113,0.0009467982,0.001111836,0.0009365735,0.001727033,0.0001989258,0.00001516395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001174226,"about_ca_system_score_gemma":0.0008466236,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04270121,"about_ca_topic_score_gemma":0.003712865,"domain_scores_codex":[0.996499,0.0008657557,0.0003043023,0.0009568972,0.000607267,0.0007667663],"domain_scores_gemma":[0.9951233,0.001610722,0.0001048283,0.0006564707,0.002210273,0.0002944205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001664244,0.00009207045,0.9372333,0.0005365502,0.00002573692,0.000003340811,0.05561436,0.0000142293,0.00000930644,0.002923944,0.0007651199,0.002615626],"study_design_scores_gemma":[0.0002672858,0.00002723774,0.8119107,0.000008202765,0.00004609066,4.987288e-8,0.02547736,0.00008249408,0.00001958028,0.1592712,0.002669485,0.0002202752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861379,0.00007449018,0.001200075,0.009417148,0.0003637214,0.002003501,0.0001227951,0.0003748151,0.0003055749],"genre_scores_gemma":[0.9989191,0.00004574771,0.0002705523,0.0001232654,0.0001486917,0.000057809,0.00002068962,0.000008796713,0.0004053839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1563472,"threshold_uncertainty_score":0.9974514,"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."}}