{"id":"W2301415378","doi":"","title":"Measuring Durable Goods and Housing Prices in the CPI: An Empirical Assessment","year":2015,"lang":"en","type":"article","venue":"Bank of Canada review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Durable good; Inflation (cosmology); Economics; Goods and services; Compromise; Index (typography); Measure (data warehouse); Price index; Macroeconomics; Microeconomics; Econometrics; Public economics; Economy; Computer science; Database","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":[0.01309367,0.000801009,0.001539182,0.00709174,0.0004833196,0.00323524,0.001644155,0.0007365264,0.002235562],"category_scores_gemma":[0.04265351,0.0005054012,0.0008901092,0.03860879,0.001448356,0.00210773,0.0009184128,0.002167916,0.0006357121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009031966,"about_ca_system_score_gemma":0.009519082,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5054287,"about_ca_topic_score_gemma":0.3700867,"domain_scores_codex":[0.9935456,0.001610052,0.0004222638,0.000441812,0.003744968,0.0002353872],"domain_scores_gemma":[0.9479306,0.02074765,0.005100381,0.001507294,0.02417063,0.0005434347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002644355,0.0002061494,0.3436918,0.009244076,0.002462276,0.000370302,0.0009384434,0.006391391,0.000287358,0.05801949,0.05297958,0.5251448],"study_design_scores_gemma":[0.00007051959,0.0002013861,0.7617188,0.007180756,0.002948324,0.0003603389,0.001783116,0.01099291,0.0007551328,0.008134288,0.2057078,0.0001466211],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.08982875,0.8482587,0.01142142,0.01051608,0.0006891639,0.000188109,0.005988548,0.00006764894,0.03304157],"genre_scores_gemma":[0.4181555,0.5568774,0.01072368,0.0009810046,0.001108226,0.0001176557,0.007951303,0.00005148372,0.004033867],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4945713,"threshold_uncertainty_score":0.9949678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1233114069519264,"score_gpt":0.2840387718295393,"score_spread":0.1607273648776129,"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."}}