{"id":"W4309465487","doi":"10.17016/2380-7172.3228","title":"House Price Growth and Inflation During COVID-19","year":2022,"lang":"en","type":"article","venue":"FEDS Notes","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Inflation (cosmology); House price; Economics; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; Monetary economics; Geography; Medicine; Virology; Internal medicine","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":[0.0004991638,0.0001752929,0.0001565937,0.0004669605,0.0004917373,0.00194206,0.0001780292,0.0008364947,0.003942872],"category_scores_gemma":[0.002910442,0.0001029982,0.0001327457,0.0008289412,0.0003211309,0.0008484405,0.0008048475,0.001583393,0.001098738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00140548,"about_ca_system_score_gemma":0.0006114956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03840153,"about_ca_topic_score_gemma":0.0564995,"domain_scores_codex":[0.9995659,0.00005938717,0.00003151091,0.00005840388,0.000131596,0.0001533069],"domain_scores_gemma":[0.9988168,0.000124493,0.0004308956,0.00003994689,0.0003828228,0.0002049757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005978523,0.0001770878,0.7864525,0.0001424641,0.00008471831,0.001022633,0.002027906,0.0007968311,0.0004851541,0.02687527,0.1161797,0.06515791],"study_design_scores_gemma":[0.00001281831,0.0000665503,0.9530565,0.00008125347,0.0000145841,0.0001877666,0.001121265,0.0007477986,0.0002716901,0.001340486,0.04308371,0.00001551161],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8358662,0.0113559,0.0006747551,0.04260451,0.002018454,0.00002460666,0.01717833,0.00007587528,0.09020146],"genre_scores_gemma":[0.9747264,0.003247776,0.0001238925,0.00176529,0.001134832,0.00001583884,0.006713535,0.00002809016,0.01224433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03840153,"threshold_uncertainty_score":0.07635599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02875778451660972,"score_gpt":0.2142111503158484,"score_spread":0.1854533657992387,"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."}}