{"id":"W2414532600","doi":"10.2139/ssrn.817306","title":"Timeliness of Analysts' Forecasts: The Informational Role of Follower Analysts","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Consensus forecast; Business; Accounting; Actuarial science; Econometrics; Economics","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":[0.005908063,0.0002347716,0.0004668247,0.001562549,0.0004465273,0.003435246,0.0006346884,0.001541092,0.005030521],"category_scores_gemma":[0.1193614,0.0003222153,0.000299869,0.0013038,0.0004510018,0.004772871,0.0006864645,0.001594652,0.0009951185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005884338,"about_ca_system_score_gemma":0.000471816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00275003,"about_ca_topic_score_gemma":0.002827329,"domain_scores_codex":[0.9987022,0.000452782,0.0001156056,0.0002728736,0.0003504221,0.000106192],"domain_scores_gemma":[0.7716013,0.1702351,0.04156655,0.006764566,0.007544721,0.002287779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003421511,0.0003839089,0.7587604,0.0001961404,0.0005843553,0.000883765,0.004004697,0.02221793,0.004823972,0.01985732,0.02135867,0.1635072],"study_design_scores_gemma":[0.0001403179,0.0005763203,0.8381578,0.0001186641,0.0004728591,0.0007262943,0.002179408,0.09921356,0.004745128,0.04583152,0.007647256,0.0001908707],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707204,0.001336612,0.006187004,0.003948022,0.0001235347,0.00001311411,0.001065515,0.00009940757,0.01650642],"genre_scores_gemma":[0.9981282,0.0003127289,0.0004065876,0.00008971427,0.0001994445,0.000003392792,0.0002270959,0.00001722187,0.0006155722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005908063,"threshold_uncertainty_score":0.03124517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008511545834625928,"score_gpt":0.1969635178786825,"score_spread":0.1884519720440566,"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."}}