{"id":"W3123461872","doi":"","title":"Liquidity, Assets and Business Cycles","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Business cycle; Market liquidity; Shock (circulatory); Monetary economics; Economics; Liquidity crisis; Equity (law); Recession; Boom; Dynamic stochastic general equilibrium; Financial economics; Macroeconomics; Monetary policy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002879806,0.0002093555,0.0001899975,0.0008778321,0.0003295414,0.002398301,0.0001594848,0.000658255,0.004913188],"category_scores_gemma":[0.00320334,0.0001587895,0.0001649896,0.001711967,0.0007318698,0.001471751,0.0005589646,0.000525425,0.0004224867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008321524,"about_ca_system_score_gemma":0.0005140111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004936094,"about_ca_topic_score_gemma":0.00355689,"domain_scores_codex":[0.9998996,0.00004231007,0.000005899634,0.00001576611,0.00001644191,0.00001997175],"domain_scores_gemma":[0.9988785,0.0006314445,0.0003367619,0.00003216677,0.00004426484,0.00007680667],"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":[0.0002532167,0.0001439652,0.1455887,0.0002715202,0.0002166352,0.0005786506,0.0007366016,0.1275308,0.001294854,0.6361769,0.012448,0.07476021],"study_design_scores_gemma":[0.00004152765,0.0000740513,0.06187682,0.0001825062,0.00006606855,0.0002572754,0.0005270533,0.05801943,0.0002960217,0.8543054,0.02430633,0.00004760619],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8621075,0.02604588,0.01719932,0.01092173,0.00009524556,0.0000379011,0.001535304,0.0001609458,0.08189615],"genre_scores_gemma":[0.9900677,0.004288555,0.0006424987,0.0001450562,0.00006021258,0.00001258984,0.0002484936,0.00001094564,0.004524052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004936094,"threshold_uncertainty_score":0.01643622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07997860948852172,"score_gpt":0.2948517470215409,"score_spread":0.2148731375330192,"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."}}