{"id":"W3187034467","doi":"10.1093/cmlj/kmab015","title":"Make-wholes in sovereign bonds","year":2021,"lang":"en","type":"article","venue":"Capital Markets Law Journal","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Treasury; Bond; Maturity (psychological); Forward rate; Economics; Corporate bond; Financial economics; Interest rate; Fixed income; Monetary economics; Basis point; Value (mathematics); Actuarial science; Business; Finance; Mathematics; Statistics; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001198266,0.0001526995,0.0003324734,0.0001575897,0.0002055243,0.0002516961,0.0002292374,0.0001169374,0.002136068],"category_scores_gemma":[0.000322951,0.000181817,0.000134956,0.0003143445,0.0001189987,0.0003123333,0.0000808262,0.0003552575,0.0001395703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002395316,"about_ca_system_score_gemma":0.00005498516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004592321,"about_ca_topic_score_gemma":0.0002760423,"domain_scores_codex":[0.9983724,0.0000616777,0.0007565095,0.000358426,0.00006887031,0.0003821081],"domain_scores_gemma":[0.9991173,0.0001038775,0.0002735895,0.0003170586,0.00008022691,0.000107995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001584501,0.000168357,0.06638803,0.00002029706,0.00001794581,0.00009128694,0.0003264944,0.0001040127,0.00003389701,0.9306093,0.0003180349,0.001906514],"study_design_scores_gemma":[0.0007598162,0.00003565351,0.4001994,0.00003896807,0.000003609158,0.0003068978,0.000203492,0.0006214578,0.0001026283,0.5861251,0.01132035,0.0002826475],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8082966,0.006691321,0.0004369735,0.0004978514,0.0006945364,0.00006643193,0.0000355451,0.00001828135,0.1832624],"genre_scores_gemma":[0.9980415,0.0001692553,0.0006885672,0.0001867686,0.000219894,0.000003417757,0.000007298526,0.00002421524,0.0006590535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3444842,"threshold_uncertainty_score":0.9987761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01461696708006886,"score_gpt":0.213183164196766,"score_spread":0.1985661971166972,"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."}}