{"id":"W1877807190","doi":"10.5539/ibr.v8n11p127","title":"Listing in Special Corporate Governance Trading Segments and Accuracy of Analysts’ Forecasts in Brazil","year":2015,"lang":"en","type":"article","venue":"International Business Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Listing (finance); Earnings; Corporate governance; Accounting; Econometrics; Cross listing; Business; Economics; Financial economics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001112171,0.000110114,0.0001582169,0.001419302,0.0001880029,0.000884038,0.00021668,0.0002074137,0.0008914286],"category_scores_gemma":[0.009936554,0.0001171804,0.0001763353,0.00147429,0.0002621953,0.0005635784,0.0003716984,0.0002257652,0.0001114926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006282383,"about_ca_system_score_gemma":0.0005334858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06134737,"about_ca_topic_score_gemma":0.06688861,"domain_scores_codex":[0.9994703,0.00009542797,0.0000764739,0.000115616,0.000172229,0.0000698752],"domain_scores_gemma":[0.988839,0.002891459,0.006325527,0.0004187107,0.00124485,0.0002805497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002030281,0.000009130394,0.9897506,0.00002908826,0.00003110814,0.0001099838,0.00119947,0.0002572717,0.0003901007,0.0003004714,0.0002377387,0.007664741],"study_design_scores_gemma":[0.000002180089,0.00001611919,0.9957695,0.00004861219,0.00002918472,0.0001350329,0.001023886,0.001335615,0.0003040041,0.0001706981,0.001158293,0.000007001539],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965271,0.000544775,0.0001201817,0.0002288492,0.000004467635,0.00000323114,0.0003882279,0.000006308253,0.002176711],"genre_scores_gemma":[0.9995406,0.0001365747,0.0000532514,0.000008010746,0.000003929919,6.075866e-7,0.0001630565,0.000001086667,0.00009288138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06134737,"threshold_uncertainty_score":0.1219805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0959820535858853,"score_gpt":0.3390721375316157,"score_spread":0.2430900839457304,"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."}}