{"id":"W7100921657","doi":"","title":"Financial Stress, Monetary Policy, and Economic Activity: A Nonlinear Approach","year":2007,"lang":"en","type":"article","venue":"","topic":"Educational Tools and Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Monetary policy; Shock (circulatory); Vector autoregression; Financial accelerator; Stress (linguistics); Financial crisis","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":[],"consensus_categories":[],"category_scores_codex":[0.001047524,0.0005080408,0.0004171239,0.000915312,0.000592689,0.001895694,0.0006194707,0.0009295886,0.005535608],"category_scores_gemma":[0.005090928,0.0003067746,0.0005763999,0.0008631701,0.001382161,0.002016013,0.001555495,0.001302326,0.0003766077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00150912,"about_ca_system_score_gemma":0.001070443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01258495,"about_ca_topic_score_gemma":0.00848875,"domain_scores_codex":[0.9995525,0.0002781387,0.00001181344,0.00004411811,0.00005872273,0.00005459176],"domain_scores_gemma":[0.9978272,0.001631438,0.000247972,0.00008224575,0.0001041642,0.0001068454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004249495,0.0004436021,0.1440469,0.0002711102,0.0005137009,0.0008369495,0.002404441,0.2767129,0.002553961,0.5084033,0.002018413,0.06136971],"study_design_scores_gemma":[0.00004462566,0.0001244988,0.04041008,0.0000702868,0.0001156069,0.000122165,0.00118259,0.6800812,0.0004010759,0.27439,0.002992778,0.00006508412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.84304,0.001955813,0.1118414,0.008934506,0.00009416995,0.00008022247,0.0004555008,0.00007379186,0.03352455],"genre_scores_gemma":[0.9903117,0.0008796509,0.00508701,0.000125356,0.00006151752,0.000037592,0.0000388655,0.000009243382,0.003449014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01258495,"threshold_uncertainty_score":0.0250234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04310783597903536,"score_gpt":0.3856556848819629,"score_spread":0.3425478489029276,"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."}}