{"id":"W1884163145","doi":"10.2139/ssrn.1083707","title":"Loan Syndicate Structure: Evidence from Ex Post Data","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Syndicate; Loan; Business; 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":[0.004825417,0.0002741317,0.0007447462,0.002401344,0.0006004053,0.002549133,0.001339452,0.001527166,0.0109585],"category_scores_gemma":[0.0368281,0.0005538471,0.0003191324,0.005137848,0.0008784441,0.002524668,0.001418477,0.001376181,0.00440887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005933291,"about_ca_system_score_gemma":0.0005195259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007059861,"about_ca_topic_score_gemma":0.008399372,"domain_scores_codex":[0.9964552,0.001063962,0.000548239,0.0005812074,0.001003276,0.0003481859],"domain_scores_gemma":[0.8722823,0.05539967,0.05223369,0.009163452,0.008366262,0.002554613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008873562,0.0004323592,0.9816802,0.00008619305,0.0001762999,0.0001872862,0.0007300397,0.0006509193,0.0004315828,0.001016912,0.004449903,0.009271076],"study_design_scores_gemma":[0.00007949628,0.0001986252,0.9935777,0.00003126407,0.00008436388,0.00014621,0.0006603657,0.001372771,0.0006464109,0.0005615716,0.002624898,0.00001629574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899287,0.0002507005,0.0004854338,0.0004688107,0.00001516591,0.0000253173,0.005920518,0.00003157701,0.00287374],"genre_scores_gemma":[0.9837877,0.0002695787,0.0002854287,0.000092803,0.0000653439,0.00003740063,0.01223733,0.00001896778,0.003205367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0109585,"threshold_uncertainty_score":0.03665984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03710284703789353,"score_gpt":0.2420845398358301,"score_spread":0.2049816927979366,"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."}}