{"id":"W4312180017","doi":"10.1007/s11301-022-00310-8","title":"Cognition and gender diversity in top management teams: what do we know and where do we go?","year":2022,"lang":"en","type":"article","venue":"Management Review Quarterly","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Wilfrid Laurier University","funders":"","keywords":"Diversity (politics); Cognition; Psychology; Process (computing); Sociology; Knowledge management; Computer 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00170837,0.0001593479,0.0002554713,0.0001380241,0.001061802,0.0002454994,0.0003034435,0.00003396334,0.001069357],"category_scores_gemma":[0.000002911763,0.0001748191,0.00006821394,0.000394752,0.0001010981,0.0006841549,0.0006797133,0.0001530257,0.00005083702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001612524,"about_ca_system_score_gemma":0.000008474318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002513885,"about_ca_topic_score_gemma":0.0002815898,"domain_scores_codex":[0.9977793,0.0006150124,0.0002434783,0.0004728273,0.0005685815,0.000320791],"domain_scores_gemma":[0.9995084,0.00002755683,0.0001095919,0.0002276357,0.00002603412,0.0001007503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001326764,0.000142728,0.003476159,0.003773072,0.00009630674,0.00006627569,0.02878877,7.334329e-7,2.072034e-7,0.02633878,0.01254661,0.9247571],"study_design_scores_gemma":[0.0005565443,0.0001025326,0.003732366,0.001059184,0.0002286948,9.914281e-7,0.195347,0.000003577752,6.852384e-8,0.01295815,0.7857699,0.0002410224],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0228042,0.8881302,0.0001967736,0.02166376,0.000636411,0.0035949,0.00003097162,0.0001243945,0.06281836],"genre_scores_gemma":[0.1691802,0.8279198,0.0001323943,0.0006743404,0.00002593462,0.00006021329,0.000007774114,0.000005635372,0.001993658],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9245161,"threshold_uncertainty_score":0.9998438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05868854230907508,"score_gpt":0.2893647537292577,"score_spread":0.2306762114201826,"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."}}