{"id":"W2590500427","doi":"10.1177/0148558x17692872","title":"Are Transient Institutions Sophisticated Enough to Interpret Small Negative Earnings Surprises?","year":2017,"lang":"en","type":"article","venue":"Journal of Accounting Auditing & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Arbitrage; Institutional investor; Earnings; Stock (firearms); Business; Financial economics; Capital market; Agency (philosophy); Economics; Stock market; Monetary economics; Finance; Corporate governance","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":[0.002828445,0.0002636646,0.0004935507,0.001006504,0.0004614758,0.004050479,0.0008736856,0.00182536,0.005357789],"category_scores_gemma":[0.0193144,0.0003310134,0.0004298366,0.0005621679,0.002260603,0.005346683,0.001205946,0.001099249,0.00126938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051235,"about_ca_system_score_gemma":0.0009016933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001080591,"about_ca_topic_score_gemma":0.001000927,"domain_scores_codex":[0.998996,0.0002134736,0.00007684317,0.0002369215,0.0001860113,0.0002908462],"domain_scores_gemma":[0.9871452,0.003139904,0.006149358,0.001771458,0.001015519,0.0007785362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00107747,0.0004994462,0.398928,0.0004675994,0.0003558031,0.00386328,0.0028242,0.007187729,0.042477,0.1806476,0.01074428,0.3509276],"study_design_scores_gemma":[0.0002249544,0.0005792677,0.5640687,0.0003971677,0.000288092,0.003105677,0.006111758,0.04034395,0.02606627,0.3298416,0.02878031,0.0001922922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.887999,0.00231693,0.04207965,0.01321533,0.0004732726,0.00009640294,0.0002450527,0.0005683875,0.05300589],"genre_scores_gemma":[0.9960021,0.0003142713,0.001966713,0.000282064,0.0001284341,0.000009789444,0.00003633035,0.00001878216,0.001241467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005357789,"threshold_uncertainty_score":0.01792365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05826267850102806,"score_gpt":0.2594439695039329,"score_spread":0.2011812910029048,"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."}}