{"id":"W2791227334","doi":"10.1016/j.jbankfin.2019.07.016","title":"What drives interbank loans? Evidence from Canada","year":2019,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Collateral; Market liquidity; Collateralized debt obligation; Interbank lending market; Business; Negotiation; Monetary economics; Financial system; Economics; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002752708,0.0003030228,0.0006169804,0.002555347,0.004252852,0.004296305,0.001738114,0.001198868,0.00773966],"category_scores_gemma":[0.02085864,0.0003724953,0.0004375748,0.007529811,0.002499557,0.001061562,0.001382988,0.001488168,0.0006468302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03425058,"about_ca_system_score_gemma":0.04867259,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948078,"about_ca_topic_score_gemma":0.9968507,"domain_scores_codex":[0.9976368,0.0003267452,0.0001375967,0.0003192881,0.0009020914,0.0006774593],"domain_scores_gemma":[0.9609728,0.01147317,0.00577789,0.001174041,0.01744977,0.003152366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008871029,0.0001771735,0.9345095,0.0003426299,0.0003537087,0.0004730807,0.00682149,0.0008887224,0.0003716989,0.007583105,0.02300666,0.02458512],"study_design_scores_gemma":[0.00009013816,0.00003426078,0.974089,0.0002344074,0.0002652344,0.00005223906,0.009484108,0.0004324524,0.000281072,0.001031882,0.01396444,0.00004074727],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9415789,0.006236877,0.0002328026,0.01059811,0.00005320711,0.00005770947,0.006699941,0.0000178099,0.03452475],"genre_scores_gemma":[0.9903581,0.002465701,0.0001352891,0.0006100694,0.00002338374,0.00001345657,0.001503618,0.00001331988,0.004877149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03425058,"threshold_uncertainty_score":0.2485065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01900551384418371,"score_gpt":0.2222313935415701,"score_spread":0.2032258796973864,"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."}}