{"id":"W2018601189","doi":"10.2139/ssrn.310160","title":"External Monitoring of Property Appraisal Estimates and Information Asymmetry","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Property (philosophy); Information asymmetry; Asymmetry; Econometrics; Actuarial science; Business; Computer science; Mathematics; Epistemology; Finance; Philosophy; Physics","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":[0.0218021,0.0005541351,0.0008253193,0.002574191,0.0004691397,0.004899899,0.000818431,0.001608424,0.004104213],"category_scores_gemma":[0.1850093,0.0004676308,0.0003759509,0.002318829,0.0008581206,0.004664248,0.00189775,0.001936917,0.0007189233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008533274,"about_ca_system_score_gemma":0.0007143755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008411334,"about_ca_topic_score_gemma":0.0008934299,"domain_scores_codex":[0.9879537,0.00653713,0.001109717,0.001133097,0.002643256,0.0006231007],"domain_scores_gemma":[0.6506124,0.2163227,0.09147588,0.02579253,0.01425501,0.001541448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004583111,0.0007395862,0.6378425,0.0004091867,0.0006504047,0.00073531,0.001914034,0.02066397,0.00875532,0.06213325,0.006363484,0.2552099],"study_design_scores_gemma":[0.0002821974,0.0008725182,0.6392146,0.0003552887,0.0005726874,0.001434871,0.0007979076,0.17527,0.01754161,0.1562698,0.007212359,0.0001761524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8920703,0.001189107,0.06245691,0.00198468,0.0001285485,0.00009696988,0.0008509222,0.0003183634,0.04090417],"genre_scores_gemma":[0.9970599,0.0001321458,0.001522943,0.00006440873,0.0001015955,0.00001532442,0.0001829522,0.0000281799,0.0008925499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0218021,"threshold_uncertainty_score":0.1153019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007494797397663261,"score_gpt":0.2116968892164302,"score_spread":0.204202091818767,"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."}}