{"id":"W2896454984","doi":"10.1016/j.najef.2018.09.002","title":"Bank fee-based shocks and the U.S. business cycle","year":2018,"lang":"en","type":"article","venue":"The North American Journal of Economics and Finance","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Université du Québec en Outaouais","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Monetary economics; Market liquidity; Business cycle; Economics; Recession; Monetary policy; Stock (firearms); Financial crisis; Subprime mortgage crisis; Great recession; Positive feedback; Order (exchange); Finance; Macroeconomics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007022253,0.000189215,0.0003320384,0.001162297,0.0006463783,0.003210143,0.0002531496,0.001525599,0.006544447],"category_scores_gemma":[0.006279081,0.0001850931,0.0002681848,0.003027563,0.0006583099,0.001058647,0.0006363258,0.001411316,0.001102842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002640023,"about_ca_system_score_gemma":0.001520658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07630287,"about_ca_topic_score_gemma":0.0998451,"domain_scores_codex":[0.9997081,0.00008779184,0.00002765013,0.0000364863,0.00005978165,0.00008013077],"domain_scores_gemma":[0.9966363,0.001168312,0.001211683,0.00009898501,0.0004408666,0.0004437611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00154136,0.0004134299,0.6985806,0.0001848544,0.0002421857,0.000757596,0.0008500297,0.0307826,0.0009210918,0.09071334,0.09991059,0.07510233],"study_design_scores_gemma":[0.0001505092,0.0001315352,0.8633601,0.0002088731,0.0001878595,0.0002446719,0.001370398,0.03556205,0.0006261189,0.05886887,0.03920915,0.00007995808],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9156386,0.008875709,0.0011629,0.0344716,0.00054516,0.00001989023,0.00791247,0.0001921433,0.03118161],"genre_scores_gemma":[0.9927804,0.002301589,0.0000847138,0.000904172,0.0001136092,0.000003841769,0.001268478,0.00001923304,0.002524047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07630287,"threshold_uncertainty_score":0.1517175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02214493980810758,"score_gpt":0.1923050610157631,"score_spread":0.1701601212076555,"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."}}