{"id":"W6908927128","doi":"10.34989/san-2022-16","title":"Considerations for the allocation of non-default losses by financial market infrastructures","year":2022,"lang":"en","type":"article","venue":"Bank of Canada Research","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Incentive; Key (lock); Financial market; Production (economics)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001047391,0.00006084959,0.0001825857,0.0001391689,0.0006579064,0.00001792773,0.0002224251,0.00003251141,0.001030303],"category_scores_gemma":[0.001630852,0.00006222801,0.00005403115,0.0003407588,0.0001387694,0.00004732488,0.00007978582,0.0001705141,4.263761e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001711346,"about_ca_system_score_gemma":0.001356732,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2316074,"about_ca_topic_score_gemma":0.199848,"domain_scores_codex":[0.998979,0.00002927349,0.0004136736,0.0001643524,0.0001860702,0.0002275704],"domain_scores_gemma":[0.9983605,0.0009499005,0.0001754929,0.0002568148,0.0002202293,0.00003706121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004367641,0.00003110152,0.003673815,0.00002522511,0.00001828815,4.289263e-7,0.0001708503,0.001730173,0.0002102121,0.1552463,0.837805,0.001044913],"study_design_scores_gemma":[0.0005834036,0.000165482,0.363065,0.000005851739,0.000006217545,0.000002268052,0.0003550944,0.008958058,0.001048876,0.09119069,0.5344686,0.0001505051],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8800313,0.008340985,0.01828409,0.02352509,0.002133477,0.003715786,0.02411458,0.0000194527,0.03983523],"genre_scores_gemma":[0.9979296,0.00004564455,0.0002949058,0.00003428839,0.00007234298,0.0001899591,0.00003667641,0.000009611212,0.001386932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3593912,"threshold_uncertainty_score":0.9998829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03820085574868804,"score_gpt":0.2767014380719162,"score_spread":0.2385005823232281,"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."}}