{"id":"W7100157624","doi":"","title":"An Explanation of the Trends in Aggregate Corporate Payout Policy","year":2002,"lang":"en","type":"article","venue":"","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Stock (firearms); Dividend; Aggregate (composite); Quarter (Canadian coin); Earnings growth","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008910966,0.0001852374,0.0002349073,0.0009315934,0.0003160103,0.0009743102,0.0003728179,0.0007504395,0.006761311],"category_scores_gemma":[0.002948063,0.0001853321,0.0002877879,0.001194419,0.0003021853,0.0009572593,0.0003628769,0.0007353338,0.000713945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008341821,"about_ca_system_score_gemma":0.0003298894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01053393,"about_ca_topic_score_gemma":0.01069257,"domain_scores_codex":[0.9997787,0.00003577844,0.0000222758,0.00007100926,0.0000305516,0.00006168862],"domain_scores_gemma":[0.9981368,0.0005434835,0.0007233616,0.000180017,0.0003108998,0.0001054632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003012366,0.0001720064,0.8560041,0.00014767,0.0001111326,0.0004959874,0.00153826,0.007285879,0.004441902,0.05207171,0.01046448,0.0669656],"study_design_scores_gemma":[0.00002464925,0.0001063228,0.9550694,0.00003917911,0.00003361839,0.0001664278,0.0008770019,0.01507915,0.0009634949,0.01980837,0.007810522,0.00002183174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702988,0.00132521,0.003956968,0.009956925,0.00005644394,0.00004309913,0.00279144,0.0001133699,0.01145764],"genre_scores_gemma":[0.9966001,0.0003335705,0.0004872672,0.0002192784,0.00003955884,0.00000918911,0.0004678372,0.000006905052,0.001836384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01053393,"threshold_uncertainty_score":0.02261883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04158498156470909,"score_gpt":0.2263246952184454,"score_spread":0.1847397136537363,"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."}}