{"id":"W4323356118","doi":"10.1287/mnsc.2023.4699","title":"Do Differences in Analyst Quality Matter for Investors Relying on Consensus Information?","year":2023,"lang":"en","type":"article","venue":"Management Science","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Straddle; Earnings; Volatility (finance); Quality (philosophy); Economics; Financial economics; Investment decisions; Earnings quality; Accounting; Actuarial science; Finance; Business; Econometrics; Behavioral economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01894442,0.0002346993,0.0005753505,0.001519108,0.0005012906,0.003096492,0.0006358827,0.001283806,0.006183926],"category_scores_gemma":[0.1668303,0.0002582624,0.0007752044,0.001505482,0.0008726373,0.003641462,0.0009352423,0.00102886,0.0009335731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007991521,"about_ca_system_score_gemma":0.0006979496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003088284,"about_ca_topic_score_gemma":0.004379815,"domain_scores_codex":[0.9914482,0.002513011,0.001315239,0.001207302,0.002676839,0.0008394092],"domain_scores_gemma":[0.7488829,0.1237983,0.0965846,0.01341596,0.01019926,0.007118811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004877512,0.00007050023,0.9729387,0.0000366463,0.0004043366,0.00007255096,0.0003883578,0.0006147378,0.0002812537,0.000733971,0.0006606826,0.02331073],"study_design_scores_gemma":[0.00008584118,0.0003686623,0.9845544,0.00007283016,0.0002749856,0.0003130695,0.001282622,0.003260818,0.0008372997,0.007055887,0.001839347,0.00005432788],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796168,0.001951616,0.006081836,0.003474608,0.0001328522,0.00008092284,0.0007022774,0.00006754498,0.007891645],"genre_scores_gemma":[0.998576,0.000172455,0.0004109056,0.0001877109,0.00007339844,0.000007104587,0.0002071265,0.00001270964,0.000352505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01894442,"threshold_uncertainty_score":0.1001889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03834446385880515,"score_gpt":0.2796677818233521,"score_spread":0.2413233179645469,"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."}}