{"id":"W2951321926","doi":"10.2139/ssrn.3053727","title":"Bank Lines of Credit as Contingent Liquidity: Covenant Violations and Their Implications","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Covenant; Market liquidity; Business; Financial system; Asset (computer security); Credit crunch; Quarter (Canadian coin); Monetary economics; Finance; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00985676,0.0003218907,0.0009192235,0.002146139,0.002348429,0.01249015,0.001975652,0.005145901,0.01194452],"category_scores_gemma":[0.1080506,0.0004502038,0.0005434785,0.00493982,0.007824564,0.01292354,0.004076217,0.009495567,0.0005460432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002473551,"about_ca_system_score_gemma":0.002243992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004579004,"about_ca_topic_score_gemma":0.004062292,"domain_scores_codex":[0.9935879,0.003270294,0.0004951218,0.0007977083,0.001224709,0.0006242855],"domain_scores_gemma":[0.793669,0.1455292,0.04077132,0.006413702,0.009220094,0.004396593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0005726383,0.0006078343,0.088813,0.0001217526,0.00009228205,0.0006795914,0.002243716,0.008298442,0.0003516738,0.8568721,0.008430011,0.03291683],"study_design_scores_gemma":[0.00009878325,0.0001241698,0.04235506,0.0002024221,0.0001351807,0.0003738993,0.005532334,0.03839677,0.0004843252,0.9085201,0.003678753,0.00009832843],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8728257,0.005518545,0.02270527,0.04086439,0.0003107263,0.00007017364,0.0005350464,0.0001131346,0.05705698],"genre_scores_gemma":[0.997516,0.0004539558,0.0004688846,0.0003372799,0.00014356,0.0000120254,0.00003914581,0.00001240124,0.001016772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01249015,"threshold_uncertainty_score":0.05212814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0158674686051749,"score_gpt":0.2315420780129111,"score_spread":0.2156746094077362,"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."}}