{"id":"W2735436629","doi":"10.1111/ecin.12863","title":"THE IMPACT OF RETURN ON COLLATERAL IN A CHANNEL SYSTEM","year":2019,"lang":"en","type":"article","venue":"Economic Inquiry","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Saskatchewan","funders":"","keywords":"Collateral; Economics; Interbank lending market; Interest rate; Rate of return; Monetary policy; Monetary economics; Econometric model; Cutoff; Econometrics; Financial economics; 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":[0.002712016,0.0002175979,0.0003542284,0.001032199,0.0004326987,0.002768766,0.0004425744,0.0008430114,0.007117869],"category_scores_gemma":[0.03387155,0.0001593781,0.0002593649,0.001173983,0.001446194,0.003015966,0.001107665,0.001007314,0.0006058655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001357314,"about_ca_system_score_gemma":0.0006110071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002589361,"about_ca_topic_score_gemma":0.001520067,"domain_scores_codex":[0.9981717,0.0008823895,0.0001417292,0.0001908783,0.0002926571,0.0003207381],"domain_scores_gemma":[0.9447349,0.02283795,0.02456943,0.002519143,0.003057792,0.002280803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001467537,0.0005710086,0.8099429,0.0001372657,0.0002077762,0.001142319,0.0008578171,0.08375199,0.004491438,0.06015922,0.001961722,0.035309],"study_design_scores_gemma":[0.000201071,0.001600721,0.7233637,0.0001504825,0.0004157037,0.0008870704,0.00232908,0.2136348,0.005643563,0.04774647,0.003900051,0.0001271644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934177,0.0001139569,0.00182106,0.0002858475,0.000006054,0.00001169815,0.0001103221,0.00003247358,0.004200838],"genre_scores_gemma":[0.9995286,0.00003470795,0.0001017073,0.000007538302,0.000005793028,0.000001920681,0.00003030681,0.000002554867,0.0002867943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007117869,"threshold_uncertainty_score":0.02381164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06354706809972362,"score_gpt":0.2570797022495961,"score_spread":0.1935326341498725,"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."}}