{"id":"W3123022161","doi":"10.1016/j.jbankfin.2019.105655","title":"CSR-contingent executive compensation contracts","year":2019,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":185,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Executive compensation; Corporate social responsibility; Tying; Compensation (psychology); Corporate governance; Business; Proxy (statistics); Accounting; Industrial organization; Microeconomics; Economics; Public relations; Finance; Psychology; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.001555422,0.0001271004,0.0003437057,0.0001685296,0.0001062726,0.0001942967,0.0001897795,0.00006049114,0.00009545352],"category_scores_gemma":[0.0007920426,0.000119924,0.0001559633,0.0003417687,0.00003083987,0.001186772,0.00007102522,0.0002671306,0.0001001025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001038321,"about_ca_system_score_gemma":0.0001045084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005722936,"about_ca_topic_score_gemma":0.00002055252,"domain_scores_codex":[0.99843,0.00001883173,0.0007387293,0.0001608406,0.0004231541,0.0002284671],"domain_scores_gemma":[0.996253,0.0001295516,0.002716919,0.0001586208,0.0007337344,0.000008206709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001067264,0.0003546987,0.7702835,0.0002989277,0.0001575326,0.0004783747,0.001051265,0.00219005,0.04102098,0.0528084,0.002999834,0.1272892],"study_design_scores_gemma":[0.001953422,0.00008378039,0.7914923,0.0008889801,0.000113432,0.00006777047,0.0004964003,0.002927125,0.001243912,0.02361753,0.1766222,0.0004931383],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847858,0.0001649026,0.0003593201,0.0005198345,0.001078356,0.0001860171,2.992535e-7,0.00002108103,0.01288442],"genre_scores_gemma":[0.9977161,0.00001076095,0.0004071375,0.0005277852,0.0008919454,9.729077e-7,0.000001263843,0.00001676738,0.0004272687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1736224,"threshold_uncertainty_score":0.489036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01744415429852597,"score_gpt":0.2415635601726366,"score_spread":0.2241194058741106,"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."}}