{"id":"W2785749053","doi":"10.1257/pandp.20181037","title":"Using Online Prices for Measuring Real Consumption across Countries","year":2018,"lang":"en","type":"article","venue":"AEA Papers and Proceedings","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Representativeness heuristic; Purchasing power; Consumption (sociology); Econometrics; Variety (cybernetics); Price index; Purchasing; Economics; Purchasing power parity; Product (mathematics); Developing country; Computer science; Monetary economics; Macroeconomics; Statistics; Economic growth; Operations management; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003881802,0.0001310147,0.000250054,0.00005992387,0.0003480372,0.0001492709,0.00008392983,0.00008826898,0.00009535476],"category_scores_gemma":[0.00004074125,0.0001431406,0.00004914085,0.00004381672,0.0001479021,0.0003879159,0.00003209033,0.00005516232,0.0000353237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004928384,"about_ca_system_score_gemma":0.000005774134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000438632,"about_ca_topic_score_gemma":0.00005516233,"domain_scores_codex":[0.9990208,8.534578e-7,0.0003173899,0.000304269,0.00001785044,0.0003389008],"domain_scores_gemma":[0.9995908,0.00002578322,0.0002183045,0.00005980318,0.000025565,0.00007980134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002703368,0.00005137519,0.9293303,0.0004080026,0.0001621761,4.771522e-7,0.009251839,0.00001597733,0.0009867782,0.05566997,0.0009188773,0.002933891],"study_design_scores_gemma":[0.003999707,0.000700768,0.700374,0.0001567455,0.00005651833,0.00006625511,0.001515775,0.04087417,0.001497514,0.01580925,0.2336013,0.001347947],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934832,0.0005159618,0.00007063228,0.0002242781,0.000173926,0.0001771543,0.0002465425,0.00003173367,0.005076582],"genre_scores_gemma":[0.9963492,0.0008067071,0.001716049,0.0003610593,0.0004701578,0.00000820053,0.000009506166,0.00001831797,0.0002608377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2326824,"threshold_uncertainty_score":0.5837104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2077678771739839,"score_gpt":0.3062619333427823,"score_spread":0.09849405616879844,"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."}}