{"id":"W3156193210","doi":"","title":"Banking Technology in a Markov Switching Economy","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Profit (economics); Interest rate; Economics; Markov chain; Variable (mathematics); Monetary economics; Microeconomics; Markov process; Econometrics; Computer science; Mathematics","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":[0.001263477,0.000426725,0.0009982217,0.0007680349,0.0006562572,0.002078986,0.0006652704,0.001232665,0.006597811],"category_scores_gemma":[0.003486534,0.0004174966,0.0008520343,0.0007185208,0.001687594,0.001930746,0.001115084,0.001181119,0.0005944762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001699192,"about_ca_system_score_gemma":0.0009751711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01196125,"about_ca_topic_score_gemma":0.009242523,"domain_scores_codex":[0.9992066,0.0003429661,0.00003176433,0.0001679223,0.00008618167,0.0001645232],"domain_scores_gemma":[0.9970393,0.001971961,0.0005588961,0.0001305265,0.0001264814,0.0001728662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001663184,0.000147071,0.006693657,0.00006871701,0.00007723638,0.0002844122,0.0002484518,0.7145236,0.001353122,0.2677913,0.001136863,0.007509296],"study_design_scores_gemma":[0.00008741916,0.00006812609,0.002321149,0.00001861086,0.00003146583,0.00005049504,0.00009012769,0.9066443,0.0001728986,0.08980927,0.0006758452,0.00003024051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6878523,0.0003876376,0.2842037,0.002350291,0.00006293171,0.000106683,0.0005861465,0.0002583544,0.02419195],"genre_scores_gemma":[0.9873903,0.0003017175,0.005849435,0.0001038653,0.00002934791,0.00006666707,0.0001130303,0.000009060019,0.006136645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01196125,"threshold_uncertainty_score":0.02378327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008527642389216206,"score_gpt":0.2185711302116324,"score_spread":0.2100434878224162,"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."}}