{"id":"W2972407891","doi":"10.1093/rfs/hhz101","title":"Cheap Talk and Strategic Rounding in LIBOR Submissions","year":2019,"lang":"en","type":"article","venue":"Review of Financial Studies","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"BNP Paribas Cardif; Agence Nationale de la Recherche; Comunidad de Madrid; Royal Bank of Canada; HSBC Bank USA","keywords":"Libor; Rounding; Benchmark (surveying); Welfare; Economics; Cheap talk; Web site; The Internet; Opportunity cost; Business; Actuarial science; Monetary economics; Interest rate; Microeconomics; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01672474,0.0002875197,0.0006406173,0.002277639,0.00250105,0.006472033,0.0009244216,0.001756696,0.0169863],"category_scores_gemma":[0.09889091,0.0004491326,0.000373031,0.00171339,0.002735513,0.003668127,0.00304705,0.001660582,0.003182017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001421349,"about_ca_system_score_gemma":0.001047194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000964271,"about_ca_topic_score_gemma":0.001090129,"domain_scores_codex":[0.9763113,0.01578466,0.001366783,0.001460174,0.003645572,0.001431532],"domain_scores_gemma":[0.8925434,0.07306238,0.01724772,0.006040713,0.007043462,0.004062337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.003068082,0.0004817895,0.05682029,0.0007849266,0.0002034018,0.001948977,0.02243283,0.01074975,0.005188419,0.5297945,0.04916985,0.3193571],"study_design_scores_gemma":[0.000295803,0.0006288735,0.0708386,0.001096358,0.0001498578,0.002172801,0.01899829,0.052088,0.006386444,0.727231,0.1196191,0.0004949224],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7401847,0.003287799,0.04964925,0.01071832,0.001018143,0.0002506622,0.0007581726,0.0007223558,0.1934106],"genre_scores_gemma":[0.9870628,0.0002920768,0.00303478,0.0004095551,0.0002380156,0.00005513072,0.0001114998,0.00006189262,0.008734313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0169863,"threshold_uncertainty_score":0.08845001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05844866618850334,"score_gpt":0.2945196256449891,"score_spread":0.2360709594564857,"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."}}