{"id":"W4407300977","doi":"10.1016/j.econlet.2025.112234","title":"Firm size and workplace diversity and inclusion","year":2025,"lang":"en","type":"article","venue":"Economics Letters","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Dalhousie University","keywords":"Diversity (politics); Inclusion (mineral); Business; Demographic economics; Economics; Sociology; Social science; Anthropology","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004173636,0.00004382534,0.00007262067,0.0000255015,0.004025682,0.00003338374,0.0001183482,0.00004414052,0.00003139896],"category_scores_gemma":[0.00004686943,0.00005376617,0.00001677962,0.00003918303,0.0001646537,0.0001587732,0.004167538,0.00005689892,0.000002986214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007904314,"about_ca_system_score_gemma":0.00001774112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00181691,"about_ca_topic_score_gemma":0.000796018,"domain_scores_codex":[0.9996032,0.00005039777,0.00005490526,0.0001438954,0.0000333074,0.0001142684],"domain_scores_gemma":[0.9997173,0.0001404195,0.00002568209,0.00006073532,0.000006494025,0.00004938505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005099086,0.0000280134,0.8014212,0.00003075866,0.00005481251,0.000003127648,0.1451527,0.00002941364,0.0001230616,0.03631153,0.01243388,0.004360544],"study_design_scores_gemma":[0.001363946,0.00002160226,0.6733106,0.00002913919,0.00005878109,4.566872e-7,0.01429443,0.0001206835,0.00008123185,0.02863479,0.2816505,0.0004339155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9544777,0.00005563172,0.00004661852,0.03543834,0.0001850922,0.00006093739,0.000003508853,0.00001633873,0.009715783],"genre_scores_gemma":[0.9909669,0.0002369967,0.0001257552,0.007941279,0.00003041199,3.004664e-7,5.164769e-7,0.000001001916,0.0006968924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2692166,"threshold_uncertainty_score":0.9972709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03138637900525745,"score_gpt":0.239645889890965,"score_spread":0.2082595108857075,"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."}}