{"id":"W2986702598","doi":"10.1111/1080-8620.00014","title":"Smoothing in Commercial Property Valuations: Evidence from Individual Appraisals","year":2001,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Smoothing; Property (philosophy); Econometrics; Economics; Business; Mathematics; Statistics; Epistemology; Philosophy","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":[0.01029464,0.0001829176,0.0003964996,0.0010419,0.0003397242,0.001163124,0.0004723152,0.0005496214,0.001588749],"category_scores_gemma":[0.1105711,0.0002918124,0.0003513416,0.001307039,0.001054659,0.001395506,0.0009712569,0.0006311688,0.0004320281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003769595,"about_ca_system_score_gemma":0.0002582863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002679935,"about_ca_topic_score_gemma":0.002664456,"domain_scores_codex":[0.996595,0.001463677,0.0003498285,0.000446728,0.0009516741,0.0001931831],"domain_scores_gemma":[0.7883878,0.1075853,0.06397965,0.0295367,0.008075774,0.002434681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001309604,0.0002335952,0.9419193,0.00007688028,0.0001948261,0.0001173767,0.002528367,0.002387627,0.001312179,0.0006310869,0.0003041051,0.04898519],"study_design_scores_gemma":[0.00002085136,0.0002836027,0.9916694,0.00001485657,0.00003811554,0.0001123417,0.0003821898,0.004268842,0.0006124772,0.002016224,0.0005568495,0.00002423924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977596,0.0001884945,0.0008068336,0.00005097276,0.000003334178,0.00001218577,0.0000518525,0.00001318122,0.00111349],"genre_scores_gemma":[0.9993899,0.00006983967,0.0002919655,0.000009452989,0.000007559903,0.000003826608,0.00006478473,0.000003798184,0.0001589803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01029464,"threshold_uncertainty_score":0.05444396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1275606468746823,"score_gpt":0.2814361050876556,"score_spread":0.1538754582129733,"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."}}