{"id":"W2890366696","doi":"10.3386/w21739","title":"Regulation and Market Liquidity","year":2015,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Market liquidity; Business; 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":[0.002180376,0.0002080183,0.0003478834,0.0009092344,0.0005133866,0.002160106,0.0004646691,0.001372765,0.005557443],"category_scores_gemma":[0.01703644,0.0001625267,0.0005400286,0.000895494,0.001320193,0.001196292,0.001152818,0.001843448,0.0006732313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001454627,"about_ca_system_score_gemma":0.0009527539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003750948,"about_ca_topic_score_gemma":0.00285778,"domain_scores_codex":[0.998556,0.0004761917,0.00008810459,0.0002389346,0.0002832669,0.0003575727],"domain_scores_gemma":[0.9695491,0.01240778,0.01509482,0.0008902004,0.0009606868,0.001097388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001531522,0.001741903,0.8245865,0.0002958846,0.0004245187,0.0006089136,0.001548561,0.0226237,0.006162337,0.06685143,0.008607076,0.06501766],"study_design_scores_gemma":[0.0002564577,0.001313006,0.9068016,0.0001652239,0.0003483117,0.0002760177,0.001179792,0.02664181,0.006520965,0.04261129,0.01377509,0.0001104725],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804916,0.001679864,0.00185481,0.002300993,0.00003938121,0.00003477237,0.0005244213,0.00004991872,0.0130241],"genre_scores_gemma":[0.9985026,0.0002380165,0.0001386381,0.0002161575,0.00004314415,0.00002031777,0.0001420726,0.000006248417,0.0006928565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005557443,"threshold_uncertainty_score":0.01859152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3279387203883027,"score_gpt":0.4508017386818454,"score_spread":0.1228630182935426,"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."}}