{"id":"W2899803631","doi":"10.29173/spectrum44","title":"Does Gender Diversity on Corporate Boards Affect Firm Performance?","year":2018,"lang":"en","type":"article","venue":"Spectrum","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health","funders":"","keywords":"Gender diversity; Diversity (politics); Corporate governance; Legislation; Accounting; Executive board; Face (sociological concept); Affect (linguistics); Business; Public relations; Political science; Management; Finance; Economics; Psychology; Sociology; Law","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001709444,0.0001850898,0.0001628386,0.00009457394,0.0005155761,0.0001035142,0.0002713746,0.00005535899,0.0007762794],"category_scores_gemma":[0.00001511737,0.0001245398,0.00006867859,0.0003737528,0.0001046947,0.0007070412,0.0002902602,0.0001278127,0.003392725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004807875,"about_ca_system_score_gemma":0.00001766217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004173107,"about_ca_topic_score_gemma":0.0004763761,"domain_scores_codex":[0.9989274,0.000004514756,0.0001196531,0.0003267642,0.000274676,0.0003470209],"domain_scores_gemma":[0.9993295,0.000009116254,0.0002794104,0.0003101246,0.00005965348,0.00001216858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001597595,0.00005536849,0.9675708,0.00006369138,0.00001718256,0.00002253212,0.00003686552,0.00001065217,0.00006161148,0.007562697,0.02311344,0.001325407],"study_design_scores_gemma":[0.000447211,0.00005751838,0.9385982,0.00003312094,0.00002280004,6.788841e-7,0.00001437934,0.0005655702,0.0006685086,0.005971237,0.05336802,0.0002528274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562036,0.000008944887,0.00006608012,0.0008795067,0.001478507,0.0001442928,0.000007798218,0.0001345473,0.0410767],"genre_scores_gemma":[0.9929138,0.00001981701,0.00001567829,0.001927581,0.002882926,0.000004051383,0.000008162669,0.00001856222,0.002209466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03886723,"threshold_uncertainty_score":0.9973832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03109671939077406,"score_gpt":0.2074583858753141,"score_spread":0.1763616664845401,"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."}}