{"id":"W4285202267","doi":"10.2139/ssrn.4110049","title":"Gender Diversity in Leadership: Empirical Evidence on Firm Credit Risk","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Diversity (politics); Gender diversity; Business; Credit risk; Empirical evidence; Political science; Actuarial science; Corporate governance; Finance; Law","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":[0.002392075,0.0001841584,0.000386669,0.001524704,0.001262282,0.002031499,0.0005320132,0.001171154,0.01045193],"category_scores_gemma":[0.01691366,0.00015316,0.0003143936,0.001809519,0.001841596,0.001396932,0.002253224,0.001509227,0.0005243746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005514867,"about_ca_system_score_gemma":0.000602618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008218834,"about_ca_topic_score_gemma":0.01362489,"domain_scores_codex":[0.9982653,0.0006319635,0.0000873951,0.00018956,0.0002997448,0.0005260159],"domain_scores_gemma":[0.962588,0.0179716,0.01221088,0.001121231,0.001025524,0.005082863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001676895,0.0002218824,0.9910164,0.00001477119,0.00006790109,0.00009736813,0.0008098554,0.0001641578,0.00005952028,0.001465288,0.0004203362,0.005494814],"study_design_scores_gemma":[0.00001752798,0.00008293456,0.9918768,0.00004985724,0.00003965171,0.00006604991,0.004283326,0.0004345558,0.00006051938,0.002453788,0.00062632,0.000008692765],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928274,0.0008492238,0.0001592763,0.001452902,0.00002077674,0.000005019783,0.0001065118,0.000002081977,0.004576717],"genre_scores_gemma":[0.999581,0.0001048084,0.000006995986,0.00004897084,0.00002082375,0.000001131852,0.00002475871,5.239939e-7,0.0002110099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01045193,"threshold_uncertainty_score":0.03496522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3747216339000643,"score_gpt":0.3547480221308757,"score_spread":0.0199736117691886,"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."}}