{"id":"W3120452012","doi":"10.2139/ssrn.3521996","title":"Common Individual Auditors and Analyst Forecast Performance","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Accounting; Audit; Business; Actuarial science; Psychology","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":[0.01307045,0.0004106128,0.001178856,0.00302266,0.000974086,0.005705115,0.0007566585,0.001924051,0.003200493],"category_scores_gemma":[0.09851179,0.0004115663,0.0007556349,0.002583165,0.001157972,0.004574242,0.002037309,0.001691125,0.0006933655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002273041,"about_ca_system_score_gemma":0.001781018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006087891,"about_ca_topic_score_gemma":0.007419736,"domain_scores_codex":[0.9938887,0.001917082,0.0005361527,0.001108689,0.001497767,0.001051635],"domain_scores_gemma":[0.8446352,0.09189209,0.03406291,0.0119082,0.01178448,0.005717191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002092885,0.0004695232,0.8059683,0.0001243149,0.001178178,0.0005392422,0.001969143,0.088109,0.002433524,0.02045467,0.004739059,0.07192221],"study_design_scores_gemma":[0.00006522342,0.0007566833,0.8050342,0.000103308,0.0004592761,0.0005354312,0.002840011,0.1382296,0.00305805,0.04657033,0.002166794,0.0001811831],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871765,0.0004305247,0.005191319,0.0007063706,0.0000533712,0.00002370385,0.0002343599,0.00007708252,0.006106811],"genre_scores_gemma":[0.9986987,0.00007407371,0.0002946725,0.00002228289,0.00003869958,0.000003911249,0.00006947335,0.000008139856,0.0007899466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01307045,"threshold_uncertainty_score":0.06912398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07550618789732319,"score_gpt":0.3382293706917693,"score_spread":0.2627231827944462,"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."}}