{"id":"W2030143985","doi":"10.1111/1911-3846.12050","title":"The Timeliness of the Bond Market Reaction to Bad Earnings News","year":2013,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Bond; Valuation (finance); Bond valuation; Business; Bond market; Monetary economics; Stock market; Stock (firearms); Economics; Financial economics; Financial system; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002898789,0.00009837888,0.000204484,0.0002060728,0.0007506767,0.0002240843,0.0006053353,0.00008709812,0.0001419021],"category_scores_gemma":[0.002406002,0.00007148096,0.0001021731,0.0009251025,0.0001795747,0.000418482,0.0002785188,0.000393225,0.0007172513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006263151,"about_ca_system_score_gemma":0.0001059547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003335598,"about_ca_topic_score_gemma":0.0001110488,"domain_scores_codex":[0.9985635,0.00005683235,0.0005819373,0.0002903446,0.0001628094,0.0003445999],"domain_scores_gemma":[0.9982107,0.0004813845,0.0002850612,0.0006085319,0.0003520942,0.00006217805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003763685,0.00003708457,0.5500749,0.00001637636,0.00001603513,3.457222e-7,0.000353269,0.00000798183,0.000527195,0.01627369,0.4226236,0.01003186],"study_design_scores_gemma":[0.0001031185,0.00001630049,0.5436399,0.00002257343,4.617208e-7,4.704548e-7,0.0001676208,0.000593651,0.0000705956,0.004243618,0.4510771,0.00006461607],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8526775,0.001080929,0.0002144466,0.01242061,0.0005931645,0.0008707223,0.000028292,0.00002469651,0.1320896],"genre_scores_gemma":[0.9775966,0.00006422251,0.00007622396,0.00004507917,0.0003070538,0.00009130911,0.000004623914,0.0000209061,0.02179392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1249192,"threshold_uncertainty_score":0.9219054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05793747709446884,"score_gpt":0.2920940048903466,"score_spread":0.2341565277958778,"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."}}