{"id":"W2811390069","doi":"10.5430/afr.v7n3p180","title":"Collateral and Yield Spread of Syndicated Loans","year":2018,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Collateral; Moral hazard; Loan; Debt; Syndicated loan; Yield (engineering); Economics; Adverse selection; Monetary economics; Business; Probit model; Financial system; Actuarial science; Incentive; Finance; Econometrics; Microeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002221441,0.00008671098,0.0002389289,0.0002669216,0.0002759418,0.00008602301,0.0001686374,0.0001021833,0.00005990179],"category_scores_gemma":[0.0005002051,0.00009561983,0.00002301093,0.000601019,0.0007140061,0.0001858426,0.0001372427,0.0001714357,0.00004330601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000308096,"about_ca_system_score_gemma":0.00002870098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001060094,"about_ca_topic_score_gemma":0.00007066868,"domain_scores_codex":[0.9987361,0.00002019322,0.0003889186,0.0004028741,0.00008470691,0.0003671704],"domain_scores_gemma":[0.9991508,0.0002136961,0.0001511801,0.0002875568,0.0001715945,0.0000252386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002909341,0.00007816993,0.8953078,0.0001019276,0.00001481646,0.000001228132,0.001202553,0.000005468526,0.0003860733,0.09226027,0.0004263151,0.01018626],"study_design_scores_gemma":[0.0003185307,0.0002066326,0.944231,0.0001007015,0.000002254144,0.000007090554,0.00007357924,0.005934465,0.0009167022,0.03928958,0.008732056,0.0001873842],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899915,0.002091174,0.0001808198,0.0003392706,0.00008474066,0.0001562087,0.00002406017,0.00001632838,0.007115837],"genre_scores_gemma":[0.9987417,0.000483867,0.0003380688,0.00001609752,0.00008162827,0.000007979113,0.000001822462,0.00001233035,0.0003165205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05297069,"threshold_uncertainty_score":0.3899264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05627031141729369,"score_gpt":0.3026064369828071,"score_spread":0.2463361255655135,"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."}}