{"id":"W3124812337","doi":"10.3386/w23979","title":"Relative Prices and Sectoral Productivity","year":2017,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Productivity; Economics; Relative price; Monetary economics; Agricultural economics; Macroeconomics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.001303795,0.0003054156,0.0002661988,0.002654179,0.0002782526,0.00248178,0.000348998,0.0002723298,0.01309312],"category_scores_gemma":[0.0134773,0.0001954023,0.0005652372,0.007702543,0.0009583046,0.001856795,0.001180912,0.0007103708,0.001609956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002018466,"about_ca_system_score_gemma":0.0008966966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006257783,"about_ca_topic_score_gemma":0.003383045,"domain_scores_codex":[0.9985057,0.0002453941,0.0001122216,0.0002223462,0.0006270829,0.0002872441],"domain_scores_gemma":[0.9941139,0.002191262,0.001879822,0.0006316974,0.0009660823,0.0002173395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001845004,0.0001307491,0.4986225,0.0004352828,0.0004935365,0.0005944903,0.001738024,0.05091285,0.002581762,0.2756169,0.01217193,0.1565175],"study_design_scores_gemma":[0.0000476766,0.0001131917,0.6476182,0.0001404094,0.00009343915,0.0006866613,0.002541885,0.02573178,0.002910102,0.2488858,0.07117184,0.000059026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7922586,0.002712337,0.03057015,0.002879141,0.0002108394,0.00008816092,0.01168196,0.0003580836,0.1592407],"genre_scores_gemma":[0.9905143,0.0009653306,0.001699388,0.00005417599,0.00007233664,0.0000210254,0.001705926,0.00002576681,0.004941835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01309312,"threshold_uncertainty_score":0.04380083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5036927836195775,"score_gpt":0.4903295828953264,"score_spread":0.01336320072425107,"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."}}