{"id":"W2913232838","doi":"10.1002/csr.1728","title":"How does CEO pay slice influence corporate social responsibility? U.S.–Canadian versus Spanish–French listed firms","year":2019,"lang":"en","type":"article","venue":"Corporate Social Responsibility and Environmental Management","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corporate social responsibility; Executive compensation; Corporate governance; Endogeneity; Accounting; Business; Enforcement; Sustainability reporting; Sustainability; Proxy (statistics); Corporate sustainability; Finance; Economics; Econometrics; Public relations; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001336736,0.0007080077,0.0006826192,0.0003430138,0.001154451,0.0008548577,0.0006473231,0.0003413447,0.0003619143],"category_scores_gemma":[0.0001200491,0.000613894,0.0002411817,0.000942052,0.0007100307,0.002220893,0.0006844798,0.0005277759,0.000616833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006767113,"about_ca_system_score_gemma":0.0001255059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005898237,"about_ca_topic_score_gemma":0.01457505,"domain_scores_codex":[0.9957463,0.0001654402,0.0006633477,0.001544693,0.0008349334,0.001045356],"domain_scores_gemma":[0.9975625,0.000120081,0.00130476,0.000801842,0.000083813,0.0001269897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01026179,0.0009443503,0.8806944,0.001530464,0.0004885798,0.0006059871,0.001055489,0.0001480496,0.004866676,0.04013367,0.008187611,0.05108289],"study_design_scores_gemma":[0.002583364,0.00009266539,0.8933129,0.00004444069,0.0001450233,0.000001324844,0.001204471,0.0002173964,0.00005050287,0.009279361,0.09219289,0.0008756287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888854,0.00006803038,0.00003367919,0.004184016,0.0009704366,0.001519123,0.0002542299,0.0001472723,0.003937798],"genre_scores_gemma":[0.987284,0.00009706963,0.00008661363,0.001651355,0.0005413158,0.00008206128,0.0002546019,0.00007326154,0.009929729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08400527,"threshold_uncertainty_score":0.9996312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02183382575067272,"score_gpt":0.203029564532152,"score_spread":0.1811957387814793,"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."}}