{"id":"W2955178037","doi":"10.5089/9781484398777.001","title":"Enabling Deep Negative Rates to Fight Recessions: A Guide","year":2019,"lang":"en","type":"article","venue":"IMF Working Paper","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Recession; Economics; Psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003282747,0.00126308,0.0005106216,0.002472397,0.001555047,0.005703005,0.001988557,0.005374997,0.01821549],"category_scores_gemma":[0.007651886,0.000687647,0.0006267841,0.001307437,0.003941597,0.0108442,0.003281638,0.007834296,0.01261217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001987761,"about_ca_system_score_gemma":0.002372387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003241409,"about_ca_topic_score_gemma":0.005872939,"domain_scores_codex":[0.9984857,0.0006918336,0.0001286802,0.0001908951,0.0003778984,0.0001249877],"domain_scores_gemma":[0.9967174,0.001685079,0.0002560403,0.0003110439,0.0005910111,0.000439449],"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":[0.00006817479,0.0002290349,0.0006222372,0.0006397571,0.00001889457,0.000346003,0.00265323,0.002106863,0.001961211,0.407931,0.3189718,0.2644518],"study_design_scores_gemma":[0.0000347842,0.00007079387,0.0003837499,0.0009551444,0.00000656984,0.000264109,0.000941187,0.0007667732,0.0005108822,0.1141397,0.8818781,0.00004820427],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004910377,0.1221847,0.1915558,0.286824,0.006757648,0.0006433239,0.0008666136,0.00318673,0.3830707],"genre_scores_gemma":[0.0969627,0.2239504,0.3372319,0.05489733,0.005658607,0.002047979,0.0007122213,0.002005565,0.2765333],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01821549,"threshold_uncertainty_score":0.06093687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02662263116228229,"score_gpt":0.2619652974093922,"score_spread":0.2353426662471099,"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."}}