{"id":"W2037534332","doi":"10.1111/j.1468-5957.2008.02079.x","title":"The Impact of Analysts' Forecast Errors and Forecast Revisions on Stock Prices","year":2008,"lang":"en","type":"article","venue":"Journal of Business Finance &amp Accounting","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Forecast error; Stock (firearms); Quarter (Canadian coin); Econometrics; Economics; Consensus forecast; Forecast skill; Statistics; Finance; Mathematics; Geography","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":[0.005180659,0.0002582811,0.0002610245,0.001087293,0.0001795163,0.001340773,0.0002559788,0.0004766733,0.001775958],"category_scores_gemma":[0.0666803,0.0001889779,0.0003189228,0.0008434497,0.0002478354,0.0009722174,0.0004677659,0.001055876,0.0003005407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004345037,"about_ca_system_score_gemma":0.0005207569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004280669,"about_ca_topic_score_gemma":0.004926726,"domain_scores_codex":[0.9972755,0.0008720055,0.0003183365,0.0002560054,0.001075211,0.000202849],"domain_scores_gemma":[0.8131254,0.1321857,0.03935446,0.003980647,0.009601076,0.001752695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003011922,0.0000562321,0.9808748,0.00002130608,0.0001975485,0.00006875255,0.0001389153,0.004992142,0.0005883659,0.0001833233,0.0004622037,0.01211528],"study_design_scores_gemma":[0.000006769966,0.0001337637,0.9871314,0.00001841228,0.00007941479,0.00007137153,0.0001288791,0.01076037,0.0009313397,0.0003329662,0.000387577,0.00001775826],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977306,0.0002371596,0.0004995185,0.0002252573,0.00002031715,0.000003423696,0.0004088345,0.0000187215,0.0008562193],"genre_scores_gemma":[0.9993979,0.00006192324,0.00009553778,0.00001036948,0.00002846741,0.000001234161,0.000240242,0.000003839667,0.0001605756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005180659,"threshold_uncertainty_score":0.02739829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02312389033108313,"score_gpt":0.2519950641370166,"score_spread":0.2288711738059335,"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."}}