{"id":"W2100452858","doi":"10.2139/ssrn.972508","title":"Cash Holdings and Credit Risk","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Credit risk; Financial system; Actuarial science","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":[0.001485467,0.0002295772,0.0003364295,0.00100761,0.0004072048,0.002710879,0.0003256919,0.001452937,0.008846063],"category_scores_gemma":[0.0126505,0.0001907681,0.000244243,0.001353223,0.001319982,0.002138562,0.0005811393,0.001386533,0.000546837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007486548,"about_ca_system_score_gemma":0.000483102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003045056,"about_ca_topic_score_gemma":0.002738998,"domain_scores_codex":[0.9996661,0.0001429525,0.00003051852,0.00004207368,0.00004985853,0.00006860043],"domain_scores_gemma":[0.979999,0.0122861,0.005876741,0.0004314237,0.0004444674,0.0009621862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001121691,0.0004630636,0.4638329,0.0001871167,0.0002639068,0.001505628,0.0008835486,0.03888199,0.0009856195,0.4172468,0.01202195,0.06260568],"study_design_scores_gemma":[0.0001772467,0.0003078993,0.2677227,0.0002037457,0.0002180361,0.0006940023,0.001101918,0.05252191,0.0005291895,0.6660873,0.01031678,0.000119226],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9563452,0.009728901,0.007068269,0.009053383,0.000111203,0.00001686202,0.0005740309,0.00007708501,0.01702512],"genre_scores_gemma":[0.9955211,0.001122272,0.0001460949,0.00008892689,0.0001210358,0.000003587009,0.00008252465,0.000004035814,0.002910507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008846063,"threshold_uncertainty_score":0.02959305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02113791185660954,"score_gpt":0.1919895840189721,"score_spread":0.1708516721623626,"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."}}