{"id":"W3123923600","doi":"","title":"The data sensitivity of UK office and retail supply forecasts","year":2001,"lang":"en","type":"article","venue":"ERES eBooks","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Strengths and weaknesses; Econometrics; Sensitivity (control systems); Time series; Business; Operations research; Economics; Computer science; Engineering; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01185666,0.0004377183,0.000789404,0.001892609,0.000440584,0.003033389,0.0006412137,0.001046833,0.001836718],"category_scores_gemma":[0.1073537,0.0005761459,0.0005630332,0.003115222,0.0007160014,0.002932553,0.002114157,0.001607122,0.0006791095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00265419,"about_ca_system_score_gemma":0.0005615368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06237108,"about_ca_topic_score_gemma":0.03784473,"domain_scores_codex":[0.9866217,0.006496065,0.001114342,0.001938812,0.00330223,0.0005267296],"domain_scores_gemma":[0.8775629,0.1008125,0.007622059,0.0054674,0.008124965,0.0004102341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001815254,0.00007256874,0.4613891,0.0006424231,0.0006045185,0.001359586,0.004742583,0.4138296,0.002238593,0.008430478,0.02555186,0.07932346],"study_design_scores_gemma":[0.0001483597,0.0003804381,0.5176464,0.000646521,0.0003369158,0.00151645,0.007294771,0.3917375,0.008240282,0.02113263,0.05033884,0.0005808784],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9417412,0.002896048,0.01456638,0.005764293,0.0004649258,0.00008447414,0.01436542,0.000364519,0.01975279],"genre_scores_gemma":[0.9913414,0.0005376391,0.001267464,0.0002100053,0.00006650625,0.00002137939,0.005388775,0.00005593349,0.0011109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06237108,"threshold_uncertainty_score":0.124016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06682109849207582,"score_gpt":0.2231577695366873,"score_spread":0.1563366710446115,"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."}}