{"id":"W1653831682","doi":"","title":"Uncertainty and the Zero Lower Bound: A Theoretical Analysis","year":2011,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Economics; Rational expectations; Zero lower bound; Zero (linguistics); Upper and lower bounds; Mathematical economics; Econometrics; Volatility (finance); New Keynesian economics; Monetary policy; Mathematics; Keynesian economics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000947757,0.0002482985,0.0007607229,0.0003753616,0.000425499,0.00002904194,0.0007795494,0.0001141566,0.003274758],"category_scores_gemma":[0.000121691,0.0002445094,0.0005712915,0.0002803464,0.002685911,0.0002036323,0.0004050145,0.0003500549,0.0001072998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007475543,"about_ca_system_score_gemma":0.00003083876,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01455691,"about_ca_topic_score_gemma":0.001371461,"domain_scores_codex":[0.9983956,0.0001514648,0.0004190926,0.0005258627,0.00006894226,0.0004390594],"domain_scores_gemma":[0.9983273,0.0003059025,0.0003445844,0.0007835487,0.0000231283,0.0002156105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002226524,0.000266073,0.02594273,0.00003936634,0.002538746,0.00004281519,0.04831867,0.0003508632,0.000005479575,0.9179993,0.0009989021,0.001270551],"study_design_scores_gemma":[0.00752456,0.0005640092,0.1712364,0.00005609087,0.001068373,0.00005075311,0.009384028,0.2530808,0.000009141942,0.5136515,0.04212548,0.001248791],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8423384,0.0007576862,0.002473571,0.001166743,0.00009177945,0.0002810079,0.0006217628,0.000035419,0.1522337],"genre_scores_gemma":[0.9954824,0.0009080208,0.001443236,0.0003007195,0.00002485152,8.057354e-7,0.00003511573,0.00001733418,0.001787495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4043477,"threshold_uncertainty_score":0.9976364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0368257384702087,"score_gpt":0.1850148455553202,"score_spread":0.1481891070851115,"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."}}