{"id":"W4210891012","doi":"10.1111/caje.12545","title":"Measuring real consumption and consumer price index bias under lockdown conditions","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Economics/Revue canadienne d économique","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economics; Consumer price index (South Africa); Consumption (sociology); Index (typography); Coronavirus disease 2019 (COVID-19); Personal consumption expenditures price index; Goods and services; Price index; National accounts; Consumer Expenditure Survey; Public economics; Econometrics; Macroeconomics; Monetary policy; Consumer confidence index; Economy; Aggregate expenditure; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002965057,0.0002148992,0.0002952216,0.001156946,0.0003464134,0.001213172,0.0003719914,0.0007524642,0.002648859],"category_scores_gemma":[0.02555211,0.0001677784,0.0002712237,0.002150605,0.0006280389,0.00127936,0.0009334988,0.0006598121,0.000622888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008935554,"about_ca_system_score_gemma":0.0004173438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01181511,"about_ca_topic_score_gemma":0.007872545,"domain_scores_codex":[0.9981889,0.0007155997,0.0001193712,0.0002810205,0.0004378499,0.0002571775],"domain_scores_gemma":[0.9856596,0.005668831,0.005154785,0.001470137,0.001613822,0.000432763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00041013,0.00009595838,0.9799875,0.00002793163,0.00007245198,0.00008975767,0.000535316,0.0011305,0.00075266,0.002004239,0.001386573,0.01350688],"study_design_scores_gemma":[0.00001025883,0.0001414706,0.9907829,0.00001698031,0.00003285158,0.00009330045,0.0008679961,0.003830217,0.0009056138,0.00173646,0.001564962,0.00001692687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931273,0.0001359871,0.002094771,0.0002233737,0.00002088789,0.00002703398,0.000893425,0.00002179145,0.003455426],"genre_scores_gemma":[0.9977313,0.00006175965,0.0006865056,0.00006686075,0.00001852211,0.00002443064,0.0008521762,0.000007963732,0.0005504958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01181511,"threshold_uncertainty_score":0.02349263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2918762039796727,"score_gpt":0.2183072463567335,"score_spread":0.07356895762293922,"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."}}