{"id":"W2969955386","doi":"10.1111/jfir.12191","title":"CORPORATE LIQUIDITY AND NBER RECESSION ANNOUNCEMENTS","year":2019,"lang":"en","type":"article","venue":"The Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recession; Market liquidity; Business cycle; Quarter (Canadian coin); Monetary economics; Monetary policy; Business; Economics; Financial system; Macroeconomics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01082484,0.00007484842,0.0002416272,0.0002349143,0.0002183131,0.00005679009,0.0003628577,0.00007563714,0.0002346145],"category_scores_gemma":[0.001134098,0.00005658174,0.00004589036,0.0004741827,0.0001915176,0.0002570192,0.0001299002,0.0004592644,0.0001636543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001282625,"about_ca_system_score_gemma":0.0001526568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008300785,"about_ca_topic_score_gemma":0.00001246861,"domain_scores_codex":[0.9986416,0.0001547327,0.0005577295,0.0001489447,0.000218525,0.0002784922],"domain_scores_gemma":[0.9984618,0.0002754533,0.0005763913,0.0002727079,0.0003528784,0.00006078748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001043533,0.0004223511,0.8464749,0.0001293522,0.00003236303,0.000008370012,0.003105537,0.0005296347,0.002987894,0.1204566,0.008303388,0.01650607],"study_design_scores_gemma":[0.0006961614,0.0006070975,0.8247736,0.00007006657,0.000003123495,0.00001560909,0.00004403359,0.000745369,0.0002308651,0.1460695,0.02662707,0.0001174709],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938568,0.001781817,0.0003633511,0.001023241,0.0004302033,0.000194155,0.00001430573,0.000003121239,0.002332985],"genre_scores_gemma":[0.9981493,0.0006483674,0.0001101367,0.00003471612,0.0001473693,0.0000011835,8.671159e-7,0.000008768854,0.000899256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02561296,"threshold_uncertainty_score":0.3751695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1176322912400352,"score_gpt":0.3284591092537756,"score_spread":0.2108268180137405,"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."}}