{"id":"W2022118209","doi":"10.1080/1351847x.2013.769891","title":"Persistence and current determinants of the future earnings growth rates of firms","year":2013,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Concordia University","funders":"Concordia University","keywords":"Earnings growth; Earnings; Economics; Predictive power; Volatility (finance); Econometrics; Mean reversion; Monetary economics; Growth rate; Accrual; Persistence (discontinuity); Demographic economics; Financial economics; Accounting; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005713218,0.0001387701,0.0002453815,0.00008007759,0.00009951177,0.00006569026,0.000554428,0.00001269579,0.00004151607],"category_scores_gemma":[0.001423608,0.00009538643,0.0001093859,0.0002811934,0.0001513362,0.0007648261,0.0002839836,0.0002534316,0.00002829351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009182009,"about_ca_system_score_gemma":0.00001323674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001657916,"about_ca_topic_score_gemma":0.000003023161,"domain_scores_codex":[0.9988437,0.0000461098,0.0005012072,0.0001393161,0.0002987814,0.0001708504],"domain_scores_gemma":[0.984854,0.00002779786,0.01456734,0.0001634863,0.0003774076,0.000009933297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002688858,0.00006179626,0.7344366,0.0005398096,0.00001856157,0.00002204987,0.0003872891,0.00005842665,0.0007828093,0.0006267198,0.008260384,0.2547787],"study_design_scores_gemma":[0.0003427074,0.00003024279,0.9261158,0.0006873057,0.00002982134,0.00000916006,0.0001515187,0.0001446378,0.0002559029,0.00009564015,0.07203232,0.0001049985],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953043,0.00124434,0.0008368227,0.0006036491,0.0004484566,0.0001073864,9.852598e-7,0.000005450593,0.001448572],"genre_scores_gemma":[0.9982924,0.0004657823,0.000229429,0.0001354383,0.0005263383,6.390066e-7,1.667209e-7,0.000019913,0.0003299247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2546737,"threshold_uncertainty_score":0.3889746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116146233354419,"score_gpt":0.2000789473219444,"score_spread":0.1884643239865025,"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."}}