{"id":"W3125654819","doi":"10.1111/1911-3846.12371","title":"The Changing Behavior of Trading Volume Reactions to Earnings Announcements: Evidence of the Increasing Use of Accounting Earnings News by Investors","year":2017,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Post-earnings-announcement drift; Earnings response coefficient; Monetary economics; Economics; Intuition; Empirical evidence; Business; Accounting; Financial economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001108483,0.0001122339,0.0001562971,0.001128524,0.0001677832,0.00108472,0.0002293591,0.0005462007,0.002291338],"category_scores_gemma":[0.01180833,0.0001174939,0.0001478843,0.001094371,0.0003002815,0.0005965084,0.0004577252,0.0005692057,0.0004050276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002490102,"about_ca_system_score_gemma":0.000108454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003337783,"about_ca_topic_score_gemma":0.003326089,"domain_scores_codex":[0.999568,0.000121911,0.00004915934,0.00006100279,0.0001341983,0.00006568443],"domain_scores_gemma":[0.9752399,0.007204435,0.01468116,0.0008073025,0.001137864,0.0009294388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003263849,0.0001126016,0.9871565,0.00001592462,0.00005074462,0.0001025584,0.0007897156,0.0002094159,0.001582134,0.0001628122,0.0003491013,0.009142084],"study_design_scores_gemma":[0.000002633341,0.00005295475,0.9988644,0.000003000266,0.00000738029,0.00004636316,0.0002430839,0.0002571214,0.000249035,0.0000567283,0.0002125384,0.000004708732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998713,0.00007290243,0.00005691981,0.00009569793,0.000004028395,0.000002845686,0.0001095076,0.000004694733,0.0009404448],"genre_scores_gemma":[0.9995446,0.00006428653,0.00004586467,0.00002968124,0.00001903012,0.000001850286,0.0001081401,0.000001904543,0.0001846593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003337783,"threshold_uncertainty_score":0.007665336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09116176257257509,"score_gpt":0.3236163816498181,"score_spread":0.232454619077243,"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."}}