{"id":"W2016190407","doi":"10.1016/j.rfe.2010.06.004","title":"The impact of macroeconomic uncertainty on non‐financial firms' demand for liquidity: A note","year":2010,"lang":"en","type":"article","venue":"Review of Financial Economics","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Market liquidity; Economics; Econometrics; Financial economics; Actuarial science; Mathematical economics; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008520482,0.0002436799,0.0006769134,0.00005812685,0.0001677541,0.00004364113,0.0004659992,0.0001136954,0.00003527278],"category_scores_gemma":[0.0007053782,0.0001851906,0.000539546,0.0001462944,0.0001280209,0.0003548869,0.00007857386,0.0001918933,0.00005359122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006561726,"about_ca_system_score_gemma":0.0004328922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005098572,"about_ca_topic_score_gemma":0.0009297718,"domain_scores_codex":[0.9985685,0.00000524816,0.0007696864,0.0002873006,0.00005607213,0.0003131319],"domain_scores_gemma":[0.9977453,0.000141541,0.001425331,0.0004809059,0.0001909115,0.00001600152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002250046,0.0005623334,0.02076505,0.01517026,0.0001170437,0.000005090838,0.00005532895,0.004518239,0.001111826,0.2317304,0.1317169,0.5919974],"study_design_scores_gemma":[0.001545985,0.0002538813,0.1887833,0.002288338,0.0001173369,0.000002371065,0.000001797104,0.004094934,0.0003201116,0.01008042,0.7919494,0.0005621414],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947637,0.001402145,0.0001565862,0.0006580594,0.0008532042,0.0009091636,0.0001777501,0.00001123479,0.001068191],"genre_scores_gemma":[0.9792847,0.01717757,0.000117773,0.001522408,0.001664674,0.00009366221,0.00002953623,0.00003325531,0.00007640482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6602325,"threshold_uncertainty_score":0.7551854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110608432890339,"score_gpt":0.2521720128571968,"score_spread":0.2411111695681629,"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."}}