{"id":"W2131219977","doi":"","title":"FEMALE BANK EXECUTIVES: IMPACT ON PERFORMANCE AND RISK TAKING","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Business; Accounting; Actuarial science","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":[],"consensus_categories":[],"category_scores_codex":[0.002172183,0.0001886239,0.0003287692,0.0002005534,0.0004949584,0.00007091863,0.0001977743,0.0001017232,0.00005680259],"category_scores_gemma":[0.000146796,0.0001725474,0.0001269279,0.0001598203,0.00004825638,0.0002716162,0.00005399028,0.001253808,0.0002148653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005076014,"about_ca_system_score_gemma":0.0001374806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002102902,"about_ca_topic_score_gemma":0.00007053781,"domain_scores_codex":[0.9978378,0.00002718588,0.000394358,0.0002980435,0.0000446716,0.001397969],"domain_scores_gemma":[0.9988696,0.00003763704,0.0008054064,0.0001928582,0.00002418706,0.00007032121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001198697,0.00006826401,0.4129657,0.00001080639,0.00007814393,0.000001192201,0.0005706809,0.0001448091,0.00005697244,0.5090427,0.0001074113,0.07683345],"study_design_scores_gemma":[0.002097835,0.003003851,0.5571911,0.0001417609,0.0000252133,0.0002665991,0.0004708297,0.004849461,0.0002591679,0.4059191,0.02492701,0.0008480657],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773976,0.004536693,0.008239024,0.00007432383,0.0001870924,0.00007880537,0.00001193593,0.0000163632,0.009458112],"genre_scores_gemma":[0.96236,0.03639164,0.00006490498,0.0000837978,0.0003131321,0.000002896969,0.000002057987,0.00002428666,0.0007572338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1442254,"threshold_uncertainty_score":0.7036279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01114633259331546,"score_gpt":0.2228911106215157,"score_spread":0.2117447780282003,"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."}}