{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002851579,0.0004828623,0.001230844,0.0008694623,0.0001965242,0.0003137018,0.0009501016,0.0007747049,0.0003902322],"category_scores_gemma":[0.0003681904,0.0006255938,0.0001926233,0.0001284933,0.0005321239,0.0002805168,0.002472641,0.001461434,0.0001160071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006073678,"about_ca_system_score_gemma":0.0002441469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001022291,"about_ca_topic_score_gemma":0.0004398361,"domain_scores_codex":[0.9958218,0.00008631274,0.001357704,0.001662384,0.00004847587,0.001023356],"domain_scores_gemma":[0.9973994,0.0002732602,0.0005528777,0.001394583,0.0000926953,0.0002871858],"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":[0.0002981017,0.0005754998,0.09174261,0.0009304566,0.0004347673,0.00007232954,0.002168564,0.004592275,0.00001778351,0.8179378,0.000416981,0.08081283],"study_design_scores_gemma":[0.001235269,0.0001209176,0.05314196,0.0002766895,0.00001151342,0.00002672811,0.0003395326,0.005713806,0.00006561734,0.8696014,0.06788296,0.001583637],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.703118,0.001968015,0.0000287656,0.0003346867,0.001036179,0.0006180436,0.0004061738,0.00005467575,0.2924354],"genre_scores_gemma":[0.9508169,0.044711,0.0008838074,0.00009163833,0.0003751978,0.0002184238,0.00008031436,0.0001304709,0.002692194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2897432,"threshold_uncertainty_score":0.9996195,"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."}}