{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001746155,0.0001453293,0.0002320167,0.001766415,0.001049273,0.00163758,0.0004068718,0.000312468,0.005433616],"category_scores_gemma":[0.0117363,0.00007545386,0.0002110214,0.002049484,0.001404253,0.001149219,0.003023846,0.0006642029,0.0003632909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006282341,"about_ca_system_score_gemma":0.0007546451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005162845,"about_ca_topic_score_gemma":0.00979675,"domain_scores_codex":[0.9978614,0.0006855921,0.0001038734,0.0001964695,0.0006451533,0.0005074033],"domain_scores_gemma":[0.9746007,0.007533891,0.01168727,0.0008562162,0.001261138,0.004060814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004720848,0.00009715305,0.9864857,0.00002461448,0.00003764786,0.0001508857,0.001045101,0.0001998246,0.0001852767,0.00167924,0.0004234036,0.009623994],"study_design_scores_gemma":[0.000004274382,0.00006982044,0.9945468,0.00003434486,0.0000102982,0.00006254087,0.002450469,0.0001565492,0.0001098349,0.0008965853,0.001652367,0.000006146909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897188,0.0002686903,0.000282836,0.0006227129,0.00001801863,0.000008988072,0.0001767507,0.000004836177,0.008898396],"genre_scores_gemma":[0.9994943,0.00003960368,0.00003666939,0.00002504738,0.0000126648,0.000003009628,0.00005745954,9.232426e-7,0.0003303252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005433616,"threshold_uncertainty_score":0.01817727,"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."}}