{"id":"W2888737233","doi":"10.2139/ssrn.3140958","title":"Credit Risk Spillovers and Financial Flexibility","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Brock University","funders":"","keywords":"Business; Flexibility (engineering); Financial system; Credit risk; Finance; Systemic risk; Financial risk; Economics; Financial crisis","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":[0.001093974,0.0002536401,0.0004548712,0.001095134,0.0005352918,0.00346435,0.0003648067,0.001652502,0.01522006],"category_scores_gemma":[0.008744215,0.0002178146,0.0004174134,0.001134513,0.001652582,0.003430039,0.002232935,0.001622826,0.0005261808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009816806,"about_ca_system_score_gemma":0.000373354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002139213,"about_ca_topic_score_gemma":0.002321853,"domain_scores_codex":[0.9996566,0.00008079159,0.0000228046,0.00007597851,0.00005024632,0.0001135922],"domain_scores_gemma":[0.9927769,0.003416151,0.001855539,0.0005691734,0.0002539921,0.001128307],"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":[0.002111593,0.001078874,0.2716734,0.0002332026,0.0004418222,0.002701824,0.002595025,0.08652856,0.004070298,0.5346476,0.006738379,0.08717936],"study_design_scores_gemma":[0.0001805105,0.0002626007,0.2804196,0.0000997981,0.0001981133,0.0005588583,0.002711033,0.01990667,0.0006071607,0.688627,0.00633466,0.00009403432],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9570727,0.001082555,0.002030249,0.002415752,0.00002975588,0.00001559561,0.0002262572,0.00005566112,0.03707141],"genre_scores_gemma":[0.9989921,0.0001053699,0.00004121384,0.00003018509,0.00001685703,0.000001312212,0.00002295668,0.00000142999,0.0007885189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01522006,"threshold_uncertainty_score":0.05091625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00899272763215348,"score_gpt":0.2096967052410203,"score_spread":0.2007039776088668,"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."}}