{"id":"W3041167172","doi":"10.1007/s11142-017-9436-9","title":"The real-time information content of macroeconomic news: implications for firm-level earnings expectations","year":2018,"lang":"en","type":"article","venue":"Review of Accounting Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Universiteit van Tilburg; London School of Economics and Political Science","keywords":"Earnings; Nowcasting; Economics; Quarter (Canadian coin); Monetary economics; Econometrics; Financial economics; Finance","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":[0.002547705,0.0004113223,0.0005993448,0.001923631,0.0002231913,0.004884077,0.0006802116,0.001985676,0.00178002],"category_scores_gemma":[0.02659985,0.0003851767,0.0003580951,0.003080652,0.0008020178,0.004912281,0.0005596581,0.001355546,0.000460443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006992166,"about_ca_system_score_gemma":0.0004544439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001301491,"about_ca_topic_score_gemma":0.001198249,"domain_scores_codex":[0.9991536,0.0002320747,0.00009725404,0.000163517,0.0002931107,0.0000602963],"domain_scores_gemma":[0.9621079,0.02939147,0.005647089,0.0007354977,0.001837695,0.0002802914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008113608,0.000452388,0.1960604,0.004317503,0.00166776,0.001501275,0.001370551,0.04110556,0.009762033,0.1344812,0.0160726,0.5923973],"study_design_scores_gemma":[0.00009348721,0.000324491,0.57574,0.002184907,0.001290494,0.001720003,0.002047111,0.04628371,0.004653294,0.3185593,0.04677965,0.000323421],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4248474,0.4707953,0.03295188,0.02596384,0.001778181,0.00005971751,0.004437239,0.0001257501,0.03904077],"genre_scores_gemma":[0.8668,0.1240449,0.002323187,0.001134536,0.003380731,0.00001994419,0.0009587661,0.00002510532,0.001312768],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004884077,"threshold_uncertainty_score":0.01347375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08824704679598375,"score_gpt":0.3022777216633773,"score_spread":0.2140306748673935,"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."}}