{"id":"W2170905619","doi":"10.1111/j.1475-679x.2007.00245.x","title":"Investor Reaction to Celebrity Analysts: The Case of Earnings Forecast Revisions","year":2007,"lang":"en","type":"article","venue":"Journal of Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Earnings; Forecast error; Econometrics; Ex-ante; Sample (material); Economics; Media coverage; Actuarial science; Business; Financial economics; Accounting","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":[0.005873438,0.0002143659,0.0003086386,0.0008471633,0.0002975497,0.00150287,0.0003224885,0.0007620746,0.002816049],"category_scores_gemma":[0.06931519,0.0001429707,0.0003202912,0.0005677628,0.0004812709,0.0007379847,0.0006425425,0.001083107,0.0002891688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004000825,"about_ca_system_score_gemma":0.0001922361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001874809,"about_ca_topic_score_gemma":0.001791951,"domain_scores_codex":[0.9974862,0.001349895,0.0001921367,0.0002205031,0.0005627775,0.0001884344],"domain_scores_gemma":[0.7973607,0.135248,0.05548673,0.00571667,0.003917374,0.002270633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001783247,0.000266271,0.9646404,0.00007764078,0.000270888,0.0006032153,0.001728574,0.001765913,0.004037843,0.0007993759,0.0005432786,0.02348351],"study_design_scores_gemma":[0.00002157797,0.0002938971,0.9893139,0.00002160164,0.0001210898,0.0002598782,0.001067095,0.00528864,0.002341297,0.0006312895,0.0006100221,0.00002973604],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960138,0.0001050898,0.0003355393,0.0003254967,0.00001542911,0.00001246788,0.00005923112,0.000009217352,0.003123759],"genre_scores_gemma":[0.9995196,0.00005061271,0.0001374881,0.0000436646,0.00004287947,0.000004762291,0.00003088495,0.000002501766,0.0001676455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005873438,"threshold_uncertainty_score":0.03106213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09839879925608506,"score_gpt":0.3446504203393908,"score_spread":0.2462516210833057,"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."}}