{"id":"W3109339729","doi":"10.1108/afr-06-2020-0089","title":"Market microstructure and the historical relationship between the US farm credit system, farm service agency and commercial bank lending","year":2020,"lang":"en","type":"article","venue":"Agricultural Finance Review","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Credit Valley Hospital","funders":"","keywords":"Bond market; Economics; Credit crunch; Monetary economics; Variables; Business; Financial system","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":[0.001130092,0.00008163228,0.0001807775,0.001509413,0.0003552931,0.001484821,0.0002723766,0.0004610535,0.003858665],"category_scores_gemma":[0.006534865,0.0001441386,0.000151668,0.002439117,0.000824611,0.001354306,0.0004781812,0.0007964745,0.0002657006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001375167,"about_ca_system_score_gemma":0.0005020359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01349679,"about_ca_topic_score_gemma":0.027835,"domain_scores_codex":[0.9996761,0.00006076429,0.00004291728,0.00008444288,0.00008237866,0.00005339482],"domain_scores_gemma":[0.9914492,0.00179531,0.005092278,0.0002810321,0.0007784162,0.0006037781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005183227,0.0001012721,0.98761,0.00001896744,0.00003851135,0.00008588682,0.000486791,0.0006860086,0.0005603131,0.002261458,0.0005091504,0.007589756],"study_design_scores_gemma":[9.927634e-7,0.00002183586,0.9976087,0.000006395605,0.000005551148,0.00004090181,0.0002960383,0.0006421663,0.0001082156,0.0004134463,0.0008512239,0.000004515712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965267,0.0003925351,0.0003505258,0.0004063961,0.000006563421,0.00001095911,0.0003921303,0.000006661702,0.001907512],"genre_scores_gemma":[0.9992749,0.0001421666,0.0001005321,0.00002595952,0.00001714933,0.000003163051,0.0001961711,0.000002973793,0.0002369689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01349679,"threshold_uncertainty_score":0.02683645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03846069441940886,"score_gpt":0.2277569485017887,"score_spread":0.1892962540823798,"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."}}