{"id":"W6910144138","doi":"10.3886/e184704v1","title":"DATA AND CODE FOR: Sectoral Heterogeneity in Nominal Price Rigidity and the Origin of Aggregate Fluctuations","year":2024,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Booth University College","funders":"","keywords":"Volatility (finance); Aggregate (composite); Rigidity (electromagnetism); Aggregate data; Productivity; Aggregate income","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004480534,0.0006292196,0.001007971,0.0004342781,0.0001932048,0.000481097,0.004571595,0.000326694,0.00003969015],"category_scores_gemma":[0.001762847,0.0004923945,0.00006070259,0.0006350257,0.001183083,0.001260972,0.007507072,0.0008551211,0.0002047762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001292914,"about_ca_system_score_gemma":0.0003325818,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002535807,"about_ca_topic_score_gemma":0.03656299,"domain_scores_codex":[0.9956922,0.0002547282,0.0009239418,0.001996113,0.0005671491,0.0005658679],"domain_scores_gemma":[0.9909475,0.0009870866,0.0007459139,0.007054689,0.0001019288,0.0001628273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003524416,0.00007605597,0.0002028192,0.0008648538,0.0002288929,0.00001842142,0.00006141284,0.000001974017,0.000223082,0.00008899278,0.9977216,0.0001594763],"study_design_scores_gemma":[0.002214333,0.00004283901,0.0005363581,0.0004244158,0.0009131422,0.00009100582,0.00003046746,0.005848087,0.00007447955,0.0004113723,0.9889247,0.0004887906],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04501657,0.003168615,0.00003365,0.0001994214,0.0003717613,0.00145385,0.9496993,0.00005259205,0.00000424098],"genre_scores_gemma":[0.002316065,0.001219455,0.0009790078,0.00007260453,0.000288449,0.00008626813,0.994919,0.0001070115,0.0000121265],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04521972,"threshold_uncertainty_score":0.9997528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1146035473985665,"score_gpt":0.3710917394062402,"score_spread":0.2564881920076737,"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."}}