{"id":"W2146943874","doi":"10.2139/ssrn.2210056","title":"The Effect of Reporting Model on Analyst Forecast Accuracy","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Econometrics; Accounting; Business; Computer science; Climatology; Economics; Geology","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":[0.01508714,0.0005794101,0.000722678,0.0006327623,0.0003464131,0.003147737,0.0007909833,0.00195666,0.00454848],"category_scores_gemma":[0.1215384,0.0004111491,0.0009930511,0.000666051,0.0005412558,0.002636059,0.0005296349,0.002188795,0.0008521975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008532152,"about_ca_system_score_gemma":0.001089017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007069955,"about_ca_topic_score_gemma":0.002978405,"domain_scores_codex":[0.9947675,0.00314794,0.0003468316,0.0006718706,0.0004698453,0.0005959748],"domain_scores_gemma":[0.5952962,0.3772988,0.01251197,0.008471408,0.004436942,0.001984691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02493385,0.001629632,0.6772899,0.0001533343,0.001864544,0.0006906188,0.0003608533,0.2397885,0.008850625,0.002239904,0.004456553,0.03774169],"study_design_scores_gemma":[0.0007112946,0.003777257,0.3122513,0.00006098466,0.002252715,0.0004614326,0.0003223009,0.6646684,0.01161422,0.002714527,0.001007466,0.0001580941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940618,0.0003627308,0.002275747,0.0009528268,0.00009695425,0.00001009935,0.000442842,0.0002147884,0.001582385],"genre_scores_gemma":[0.9988426,0.00005639903,0.0002628825,0.00006478396,0.00003350723,0.000002250245,0.0002180641,0.00003242519,0.0004871775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01508714,"threshold_uncertainty_score":0.0797894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008021822855473855,"score_gpt":0.2285245905524274,"score_spread":0.2205027676969535,"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."}}