{"id":"W3043735736","doi":"10.1177/0148558x20939332","title":"Predictability of Analyst Earnings Forecast Errors and Institutional and Individual Investors’ Reactions to Earnings News","year":2020,"lang":"en","type":"article","venue":"Journal of Accounting Auditing & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Predictability; Post-earnings-announcement drift; Quarter (Canadian coin); Monetary economics; Component (thermodynamics); Institutional investor; Economics; Econometrics; Business; Financial economics; Earnings response coefficient; Finance; Corporate governance; Statistics","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":[0.001676174,0.0001809365,0.0002735062,0.0005241343,0.0001127632,0.0009427534,0.000184422,0.0003796467,0.001346381],"category_scores_gemma":[0.01562952,0.0001264786,0.0002471627,0.0004516222,0.0002121122,0.0006325563,0.0004539389,0.0004921362,0.0001895068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002218003,"about_ca_system_score_gemma":0.0001907812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002909919,"about_ca_topic_score_gemma":0.003389521,"domain_scores_codex":[0.9994885,0.0001097723,0.00005982315,0.0001070139,0.0001396623,0.00009528556],"domain_scores_gemma":[0.9799209,0.009452862,0.008202676,0.001058789,0.0006642361,0.0007005045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003723008,0.00007493366,0.9739614,0.00001726414,0.0002089697,0.0001139821,0.0005954214,0.004808346,0.002878082,0.0005038954,0.0002865682,0.01617891],"study_design_scores_gemma":[0.000005215693,0.00008113008,0.9904631,0.000004569401,0.0000319699,0.00004895839,0.0002921336,0.007602476,0.0006379507,0.000611692,0.0002046447,0.00001624993],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986261,0.00004157536,0.0003957567,0.00006464983,0.000005815106,0.000003482151,0.00006511104,0.000008458122,0.0007890114],"genre_scores_gemma":[0.9996854,0.00002125724,0.00009515131,0.000008192997,0.000009736907,0.000001178287,0.00005987764,0.000001724945,0.0001174972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002909919,"threshold_uncertainty_score":0.008864522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04324155889952832,"score_gpt":0.2258533082630682,"score_spread":0.1826117493635399,"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."}}