{"id":"W2980921314","doi":"10.1163/17087384-12340036","title":"Board Diversity in Terms of Gender: a Recommendation for Mauritius","year":2018,"lang":"en","type":"article","venue":"African Journal of Legal Studies","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gender diversity; Diversity (politics); Legislature; Lagging; Representation (politics); Accounting; Corporate governance; Gender mainstreaming; Business; Public relations; Gender equality; Political science; Sociology; Law; Gender studies; Finance; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.007347102,0.0005219332,0.0008325324,0.002430598,0.002839848,0.00444951,0.002508388,0.003073626,0.01956092],"category_scores_gemma":[0.02517587,0.0003116496,0.0006933953,0.002677048,0.002614131,0.006567357,0.00521338,0.003826239,0.003075395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003559257,"about_ca_system_score_gemma":0.01502985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02050629,"about_ca_topic_score_gemma":0.03812509,"domain_scores_codex":[0.9963725,0.00168343,0.0002388163,0.0003160642,0.0008505734,0.0005386121],"domain_scores_gemma":[0.9808202,0.006175445,0.002110164,0.0009286518,0.005008623,0.004956956],"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":[0.0002252555,0.0002813272,0.0255508,0.00526017,0.00006285585,0.001279811,0.03048957,0.0001144802,0.001579817,0.02978452,0.343534,0.5618374],"study_design_scores_gemma":[0.00003637902,0.0002657542,0.05954973,0.01396987,0.00008920766,0.0006497225,0.0556029,0.0001521516,0.0005667537,0.007023152,0.8620254,0.00006903532],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05269479,0.1082907,0.001567737,0.7889758,0.01440073,0.0003771427,0.0005504412,0.0002174328,0.03292522],"genre_scores_gemma":[0.5471632,0.1417186,0.02328614,0.1665708,0.006796268,0.001688186,0.001038715,0.0001660236,0.111572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02050629,"threshold_uncertainty_score":0.06543773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2741764465367501,"score_gpt":0.3776662761070813,"score_spread":0.1034898295703313,"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."}}