{"id":"W2947302123","doi":"10.1002/bse.2326","title":"Board gender diversity and environmental performance: An industries perspective","year":2019,"lang":"en","type":"article","venue":"Business Strategy and the Environment","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":347,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Diversity (politics); Gender diversity; Endogeneity; Perspective (graphical); Variety (cybernetics); Matching (statistics); Resource (disambiguation); Process (computing); Marketing; Propensity score matching; Business; Psychology; Industrial organization; Sociology; Economics; Econometrics; Management; Computer science; Statistics; Corporate governance","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":[0.001346834,0.000147234,0.0001994467,0.001545045,0.0007122023,0.001234168,0.0001838915,0.0002668709,0.004378631],"category_scores_gemma":[0.00437665,0.00006150268,0.0002076062,0.001220796,0.0008963075,0.0008405678,0.001088858,0.0004134511,0.0001426778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005698897,"about_ca_system_score_gemma":0.0004548832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005813948,"about_ca_topic_score_gemma":0.009686043,"domain_scores_codex":[0.9989585,0.0004989288,0.00003269227,0.0001059296,0.0001659033,0.0002380003],"domain_scores_gemma":[0.993767,0.001882748,0.002672571,0.0001592869,0.000406344,0.001112034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003012437,0.00007047382,0.9898354,0.00001299191,0.00003864657,0.00005403724,0.0008017746,0.0001726318,0.000166658,0.002527518,0.0003269369,0.005962726],"study_design_scores_gemma":[0.000002822107,0.00007330592,0.9900497,0.00003804123,0.00002205203,0.00004728641,0.006247833,0.0004160349,0.0001666184,0.001624239,0.001306848,0.000005127546],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925303,0.0005259765,0.0003337178,0.001146429,0.00002269002,0.000004494601,0.00009525917,0.000002017196,0.005338963],"genre_scores_gemma":[0.9996657,0.00006258384,0.00003434555,0.00003907398,0.00001620547,8.927072e-7,0.00001832918,4.664539e-7,0.0001624829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005813948,"threshold_uncertainty_score":0.01464796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0620356978943464,"score_gpt":0.2309196781457798,"score_spread":0.1688839802514334,"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."}}