{"id":"W2595289838","doi":"10.1111/1911-3846.12332","title":"Director Tenure Diversity and Board Monitoring Effectiveness","year":2017,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":156,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto; Harvard Business School","keywords":"Accounting; Diversity (politics); Audit; Business; Compensation (psychology); Corporate governance; Finance; Political science; Psychology; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002627653,0.0001954852,0.0002785331,0.0002057743,0.006385455,0.001266066,0.0007259913,0.0001055503,0.00001489927],"category_scores_gemma":[0.001056685,0.0001880513,0.00006286617,0.0002512885,0.0003255267,0.00425328,0.003522964,0.0004745981,0.0001326852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005085509,"about_ca_system_score_gemma":0.00005111833,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007229734,"about_ca_topic_score_gemma":0.00005627091,"domain_scores_codex":[0.998114,0.0000400633,0.0001772226,0.0005356019,0.0006532598,0.0004798204],"domain_scores_gemma":[0.998274,0.0002023398,0.0003105754,0.0006801927,0.0005087273,0.0000242171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001415851,0.00003039249,0.9922274,0.0002825047,0.0000169335,0.00008640913,0.00004291056,9.408988e-7,0.0007486979,0.0009642899,0.002568082,0.002889825],"study_design_scores_gemma":[0.0007368104,0.00001053893,0.9666911,0.0003983146,0.000006352154,0.00000103498,0.00007095639,0.0000879463,0.0001848629,0.001222945,0.03037119,0.0002178999],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812517,0.0006093908,0.00002549468,0.0006426279,0.0005386069,0.0003650133,0.000005450985,0.00009734804,0.01646434],"genre_scores_gemma":[0.9973466,0.00004362388,0.00001258094,0.00006211703,0.001799809,0.00002414335,0.000003123988,0.00002956854,0.000678412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0278031,"threshold_uncertainty_score":0.9997707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1097890341983231,"score_gpt":0.3228582165849963,"score_spread":0.2130691823866732,"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."}}