{"id":"W2972770621","doi":"10.2139/ssrn.3192064","title":"Abnormal Media Tone, Returns, and Earnings Announcements","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"","keywords":"Earnings; Post-earnings-announcement drift; Tone (literature); Business; Earnings response coefficient; Accounting; Art","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":[0.001078835,0.0002388325,0.0002239124,0.001249472,0.0002291697,0.001963741,0.0002466995,0.000759583,0.006870552],"category_scores_gemma":[0.02170682,0.0001518283,0.0001938384,0.001005937,0.0002456354,0.000920329,0.0004346844,0.000882939,0.0012641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002370641,"about_ca_system_score_gemma":0.0001995257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002311893,"about_ca_topic_score_gemma":0.002226322,"domain_scores_codex":[0.9995694,0.0001113816,0.00005451308,0.00004796346,0.0001263585,0.00009056098],"domain_scores_gemma":[0.9698127,0.01414442,0.01208466,0.0006513332,0.001239222,0.002067705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00108436,0.0003161648,0.9859482,0.00002492449,0.00007672466,0.0002939802,0.0001292862,0.0003951259,0.0007645699,0.0004949755,0.00123194,0.009239628],"study_design_scores_gemma":[0.00001542441,0.0001426338,0.997054,0.000007188831,0.00005223707,0.0001468392,0.0001605842,0.001383761,0.0001861696,0.0004224162,0.000418948,0.000009775559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945503,0.0002668566,0.0001280539,0.0003965288,0.00004115969,0.000007051975,0.0006488675,0.00001692725,0.003944235],"genre_scores_gemma":[0.9981021,0.0001641861,0.00004189591,0.00003009129,0.0001669838,0.00000327978,0.0004746261,0.000004323018,0.001012508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006870552,"threshold_uncertainty_score":0.02298427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01006280203111875,"score_gpt":0.2027711101970805,"score_spread":0.1927083081659617,"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."}}