{"id":"W6965367949","doi":"10.34989/san-2025-11","title":"Stress testing central counterparties for resolution planning","year":2025,"lang":"en","type":"article","venue":"Bank of Canada Research","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Clearing; Stress testing (software); Resolution (logic); Extreme value theory; Stress test; Value (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01640775,0.001005031,0.001082368,0.001159,0.002049179,0.005091263,0.002822719,0.002170213,0.02793186],"category_scores_gemma":[0.09957649,0.0005329194,0.000789904,0.002003561,0.00250069,0.005221772,0.001768402,0.003340441,0.000997849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006143103,"about_ca_system_score_gemma":0.009412016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1453686,"about_ca_topic_score_gemma":0.1029426,"domain_scores_codex":[0.9930328,0.003204477,0.0002785948,0.001011674,0.001763373,0.0007091577],"domain_scores_gemma":[0.9225987,0.05196697,0.005211983,0.004720764,0.01240141,0.00310021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003430747,0.001497168,0.09461477,0.0002963041,0.0003988945,0.001032064,0.001546085,0.6024756,0.001260488,0.1779868,0.03465997,0.08080114],"study_design_scores_gemma":[0.0007161445,0.0008688535,0.02151554,0.0001474475,0.0001689717,0.00008645847,0.002726282,0.8835344,0.00143221,0.0766431,0.01206897,0.00009152987],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8407056,0.0005880614,0.04215841,0.005542582,0.0004331055,0.0005312531,0.002611996,0.000657315,0.1067715],"genre_scores_gemma":[0.9856454,0.00007003736,0.01049585,0.0001834371,0.0000432079,0.00008165178,0.0006350545,0.00004919048,0.002796079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1453686,"threshold_uncertainty_score":0.2890449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05500642555353712,"score_gpt":0.324742877879089,"score_spread":0.2697364523255519,"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."}}