{"id":"W2890411362","doi":"10.3386/w16995","title":"Cash Holdings and Credit Risk","year":2011,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada; McMaster University; University of Toronto","funders":"","keywords":"Business; Cash; Credit risk; Financial system; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005605,0.0002106943,0.0002042838,0.0008020255,0.0003767476,0.001636179,0.0001764528,0.0006947487,0.01019564],"category_scores_gemma":[0.0047123,0.0001227098,0.000176851,0.0009126089,0.0008831426,0.001338185,0.0006567326,0.0004868957,0.0003895307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007348312,"about_ca_system_score_gemma":0.000339916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002727747,"about_ca_topic_score_gemma":0.001850059,"domain_scores_codex":[0.9997695,0.00005767346,0.00002074159,0.00004733356,0.00004396236,0.00006081884],"domain_scores_gemma":[0.9956939,0.001326321,0.002304763,0.0001410931,0.0001405085,0.0003933937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006064615,0.0002391944,0.6816132,0.0002367511,0.0002638358,0.001087151,0.0009086783,0.03370121,0.003763222,0.203034,0.003884207,0.07066207],"study_design_scores_gemma":[0.00006696478,0.000220328,0.7277699,0.000153134,0.0001006099,0.0009583516,0.0005944017,0.01652747,0.001103774,0.2443437,0.008084774,0.00007662942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693905,0.003367244,0.003500071,0.002180533,0.0000229215,0.00001817537,0.0005960815,0.00004641215,0.02087803],"genre_scores_gemma":[0.9980837,0.0004180825,0.0001775469,0.00003861089,0.00002778109,0.000002948078,0.00008353755,0.000001705732,0.001166246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01019564,"threshold_uncertainty_score":0.0341078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2687484692585513,"score_gpt":0.4065342203478782,"score_spread":0.1377857510893269,"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."}}