{"id":"W2986396549","doi":"10.2139/ssrn.3266080","title":"Board Gender Diversity, Corporate Innovation, and Firm Value: International Evidence","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Gender diversity; Diversity (politics); Business; Enterprise value; Value (mathematics); Accounting; Corporate governance; Economic geography; Economics; Political science; Finance; Mathematics; Statistics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.003822129,0.00007705846,0.00008399309,0.0001266565,0.001738742,0.0001293567,0.0004120247,0.00007090547,0.000208984],"category_scores_gemma":[0.0003282264,0.00007902017,0.00003375508,0.000364888,0.0003290574,0.000746028,0.0002811405,0.0005534067,0.00005226639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000639057,"about_ca_system_score_gemma":0.001304438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001102214,"about_ca_topic_score_gemma":0.002083923,"domain_scores_codex":[0.9981015,0.000182127,0.0001641148,0.0001683719,0.0005247419,0.0008590882],"domain_scores_gemma":[0.999024,0.00004492037,0.0002254551,0.00007521286,0.0005584559,0.00007192916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003965802,0.00002399946,0.1967591,0.000002049519,0.00008770259,0.00000180018,0.007655332,0.000001355261,0.00004731241,0.7910821,0.001538149,0.002761471],"study_design_scores_gemma":[0.0004120831,0.0001593852,0.05572652,0.00001635066,0.0000345261,0.00002567367,0.0177023,0.00003160811,0.00002848775,0.9158906,0.009788995,0.0001834096],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759247,0.0004267877,0.006668703,0.005798466,0.0008377649,0.00008561755,0.000002744343,0.00003471356,0.01022048],"genre_scores_gemma":[0.9945417,0.002091647,0.0001150946,0.0004849841,0.0006715608,3.245995e-7,0.000001370239,0.000003517075,0.002089817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1410325,"threshold_uncertainty_score":0.9995608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1601741165962692,"score_gpt":0.3263332975150073,"score_spread":0.1661591809187381,"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."}}