{"id":"W3121400433","doi":"10.1111/j.1467-629x.2007.00255.x","title":"Dividend payout and executive compensation: theory and evidence","year":2008,"lang":"en","type":"article","venue":"Accounting and Finance","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; York University","funders":"","keywords":"Dividend payout ratio; Dividend; Earnings; Executive compensation; Shareholder; Earnings quality; Business; Dividend policy; Compensation (psychology); Monetary economics; Economics; Accounting; Econometrics; Accrual; Finance; Corporate governance; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004757656,0.0006300621,0.0009205285,0.003590943,0.0005498179,0.003982064,0.001370591,0.001877884,0.01040519],"category_scores_gemma":[0.01836044,0.0003650317,0.0004532365,0.004237636,0.003532754,0.002934687,0.001078532,0.002058323,0.0008299066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001640271,"about_ca_system_score_gemma":0.0009041426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004613849,"about_ca_topic_score_gemma":0.001830098,"domain_scores_codex":[0.999163,0.000307257,0.00004353595,0.000169577,0.0002274107,0.000089122],"domain_scores_gemma":[0.9280164,0.06031799,0.006472792,0.001009806,0.003416844,0.0007662324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00123952,0.00167971,0.4295672,0.002164513,0.001305263,0.001181157,0.001086669,0.01809548,0.0005191582,0.373142,0.01100728,0.1590119],"study_design_scores_gemma":[0.0004796124,0.0005445281,0.3177276,0.002691968,0.0007902331,0.0008041734,0.002556691,0.04537879,0.001049861,0.6086797,0.01918652,0.0001103551],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5908701,0.2635635,0.01029578,0.03300914,0.0003190782,0.00005901864,0.0007651777,0.00008785594,0.1010302],"genre_scores_gemma":[0.9733792,0.02376424,0.0006010638,0.0007562249,0.0003463229,0.000007547108,0.0001993545,0.000004545886,0.0009415272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01040519,"threshold_uncertainty_score":0.03480881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02855265323129751,"score_gpt":0.2191977647958752,"score_spread":0.1906451115645777,"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."}}