{"id":"W7128633542","doi":"10.26180/5073871.v1","title":"What distinguishes women nonexecutive directors from executive directors?: individual, interpersonal, and organizational factors related to women's appointment to boards","year":2017,"lang":"","type":"article","venue":"Monash University","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corporate governance; Work (physics); Executive summary; Executive director; Executive compensation; Senior management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001134269,0.0001421545,0.0002700381,0.0007344175,0.0008833337,0.001562686,0.000277055,0.000348841,0.002208559],"category_scores_gemma":[0.007474753,0.0001748914,0.00015396,0.0005744439,0.0009062682,0.0008890379,0.0005622379,0.0004865461,0.0002936356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006854061,"about_ca_system_score_gemma":0.0008135371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01022835,"about_ca_topic_score_gemma":0.020646,"domain_scores_codex":[0.9993303,0.0002226319,0.00004705606,0.00008307175,0.0001399273,0.0001770039],"domain_scores_gemma":[0.9966455,0.001164709,0.001119478,0.00005251391,0.0002033711,0.0008144648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001167449,0.0001168342,0.9455826,0.00005582358,0.00001970781,0.0003546554,0.02862797,0.00002218282,0.0003890881,0.000295238,0.0007720132,0.02364722],"study_design_scores_gemma":[0.000006114653,0.0000951594,0.9549516,0.00003968677,0.000010955,0.0003237264,0.04257962,0.00005075918,0.00007298665,0.000119855,0.001741264,0.000008303612],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966332,0.0006304185,0.00004796897,0.0005793739,0.0000250201,0.000006671373,0.00002391472,0.000001489917,0.002051916],"genre_scores_gemma":[0.9988134,0.0003538349,0.00004603051,0.000114852,0.00002659513,0.000004913574,0.00002898211,0.000001496232,0.0006100126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01022835,"threshold_uncertainty_score":0.02033758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04031159296777398,"score_gpt":0.2594353717455994,"score_spread":0.2191237787778254,"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."}}