{"id":"W2070463425","doi":"10.1016/s0165-1765(02)00264-1","title":"How much persistence should sticky-price models generate to match US data?","year":2003,"lang":"en","type":"article","venue":"Economics Letters","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Persistence (discontinuity); Economics; Econometrics; Computer science; Engineering","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009119515,0.0004167274,0.0007097856,0.0003454059,0.0002186218,0.0005548248,0.001140842,0.0001547532,0.0004046813],"category_scores_gemma":[0.0001206145,0.0005470445,0.0001716054,0.0001573361,0.00007922936,0.00158437,0.0002208404,0.0002715705,0.00175628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003952015,"about_ca_system_score_gemma":0.00003214137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004613831,"about_ca_topic_score_gemma":0.00008083583,"domain_scores_codex":[0.9969435,0.00003467283,0.000783934,0.001267332,0.00002895965,0.0009416191],"domain_scores_gemma":[0.997336,0.0000749301,0.0003836763,0.001781195,0.000009366586,0.0004148177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001027584,0.0002245473,0.024055,0.0001079388,0.0008126693,0.00003681694,0.002521211,0.5112438,0.0006854662,0.3117841,0.1475327,0.0008929634],"study_design_scores_gemma":[0.001577702,0.000116358,0.002305516,0.00001884682,0.00004311652,0.00007637974,0.0003908201,0.3734289,0.000769235,0.02779614,0.5911411,0.002335965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9398459,0.0004582141,0.02059873,0.0205996,0.001212776,0.000385895,0.001051636,0.00006457027,0.01578269],"genre_scores_gemma":[0.9622861,0.0002742133,0.01138811,0.02359354,0.0003663207,0.00003117353,0.0001071642,0.00008695809,0.001866437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4436084,"threshold_uncertainty_score":0.9996981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.261248700635523,"score_gpt":0.2342885078581301,"score_spread":0.02696019277739287,"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."}}