{"id":"W4400443011","doi":"10.5465/amproc.2024.19687abstract","title":"Board Gender Diversity and Technical Efficiency of Microfinance Orgaizations","year":2024,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Microfinance; Diversity (politics); Gender diversity; Business; Economics; Sociology; Economic growth; Anthropology; Finance; Corporate governance","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":[0.003598963,0.0001785552,0.0002231545,0.001433577,0.0005069823,0.001494149,0.0003014866,0.000302166,0.005155848],"category_scores_gemma":[0.02144378,0.00007222293,0.000219536,0.0009646464,0.0007855612,0.001096462,0.001425817,0.0002974964,0.0004795449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007815437,"about_ca_system_score_gemma":0.0004577315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001908979,"about_ca_topic_score_gemma":0.002825233,"domain_scores_codex":[0.9976709,0.000812331,0.0001260078,0.0002258886,0.0006399403,0.0005249036],"domain_scores_gemma":[0.9707326,0.009861425,0.01258705,0.001645925,0.002405102,0.002767901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001743937,0.0001414296,0.9664824,0.0000213245,0.00006470604,0.0001163157,0.0007640973,0.000921531,0.0008346119,0.00161863,0.0003688944,0.02849174],"study_design_scores_gemma":[0.000004910306,0.00008411919,0.9962298,0.00001789341,0.00001400756,0.00006554209,0.0008326517,0.0004809361,0.0004875189,0.0007554648,0.001023296,0.000003849136],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946052,0.0002202427,0.00040553,0.0001637008,0.000005934322,0.000007244823,0.00006900402,0.000004293407,0.004518755],"genre_scores_gemma":[0.9989767,0.0000266046,0.00006684347,0.0000131868,0.000007602853,0.000002372794,0.00003892391,0.00000171341,0.0008660812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005155848,"threshold_uncertainty_score":0.01903331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03478943403458486,"score_gpt":0.238285574960741,"score_spread":0.2034961409261561,"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."}}