{"id":"W4405015349","doi":"10.2139/ssrn.4981866","title":"Why Corporate Boards Should Include LGBTQ+ People","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"ICT Impact and Policies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Business","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":[],"consensus_categories":[],"category_scores_codex":[0.0005848007,0.0001936644,0.0001828314,0.0001943792,0.0001205744,0.0002044669,0.0002077935,0.00009647086,0.0001080039],"category_scores_gemma":[0.00001384563,0.0001666478,0.0001246837,0.0003429431,0.00002023384,0.0002689803,0.00002597413,0.001942815,0.0001713765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007380422,"about_ca_system_score_gemma":0.0006626905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001047573,"about_ca_topic_score_gemma":0.00135892,"domain_scores_codex":[0.99755,0.00002505439,0.0002108187,0.00006256562,0.0002212362,0.001930367],"domain_scores_gemma":[0.9996724,0.00003407301,0.00002962973,0.0001264976,0.000027736,0.0001096555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009522321,0.00009972692,0.004062573,0.0004503641,0.002628535,0.00008811312,0.02066545,0.02179624,0.0239621,0.5543448,0.2996973,0.07210952],"study_design_scores_gemma":[0.0009272075,0.0006978134,0.001672946,0.000237853,0.0002916445,0.004766014,0.005492909,0.02081108,0.004546175,0.4212686,0.5378708,0.001416981],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9331378,0.0314533,0.0187686,0.003480144,0.002234342,0.0001202779,0.00001505356,0.000848379,0.009942088],"genre_scores_gemma":[0.9900723,0.006308882,0.00001603588,0.0002807314,0.0008731285,0.000003659163,0.000005316312,0.00007114784,0.002368784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2381735,"threshold_uncertainty_score":0.8440672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01578974681001762,"score_gpt":0.249953464588767,"score_spread":0.2341637177787494,"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."}}