{"id":"W7100506501","doi":"","title":"We thank Arthur Sinko for outstanding research assistance and two anonymous referees for extremely","year":2004,"lang":"en","type":"article","venue":"","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Statistician","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004188981,0.0007377523,0.002188681,0.005255916,0.002799906,0.002362918,0.001450228,0.0008742715,0.2219457],"category_scores_gemma":[0.04056616,0.0004785171,0.0005631778,0.008031413,0.0009233843,0.004341491,0.002088489,0.002907477,0.06156216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002343429,"about_ca_system_score_gemma":0.002329125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02971809,"about_ca_topic_score_gemma":0.05269789,"domain_scores_codex":[0.997601,0.001006373,0.000191247,0.0002321791,0.0008542971,0.0001148832],"domain_scores_gemma":[0.9449829,0.02472774,0.00176042,0.002779587,0.02318489,0.002564457],"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":[0.00007486786,0.00002367405,0.0006877181,0.0001247369,0.00001126465,0.0002299601,0.0005036797,0.0002283174,0.00024079,0.004338929,0.9685031,0.02503284],"study_design_scores_gemma":[0.00002320323,0.00001325776,0.00383155,0.0001043545,0.00003992629,0.0002375193,0.001631428,0.001097164,0.00059038,0.009221092,0.9831509,0.0000592278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01759062,0.02206972,0.04264115,0.4363255,0.07286692,0.0008580482,0.09023534,0.004711135,0.3127016],"genre_scores_gemma":[0.1510829,0.02389085,0.04507465,0.02766454,0.01968782,0.00075189,0.0349001,0.005497985,0.6914493],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7780543,"threshold_uncertainty_score":0.7424823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4095151840056493,"score_gpt":0.3544929924772033,"score_spread":0.05502219152844601,"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."}}