{"id":"W3122585977","doi":"10.2139/ssrn.1687862","title":"Emergence and Future of Central Counterparties","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Business; Financial system; Cardiology; Medicine","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":[0.001335265,0.0001028566,0.0002901808,0.0007878836,0.001029478,0.004967225,0.0004847712,0.00146623,0.009938831],"category_scores_gemma":[0.006738642,0.0002169685,0.0001932051,0.0008651311,0.00271379,0.005515375,0.0009685023,0.001597407,0.0006854022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001255894,"about_ca_system_score_gemma":0.00060859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001143432,"about_ca_topic_score_gemma":0.001315672,"domain_scores_codex":[0.99966,0.00008253846,0.0000153914,0.0001224307,0.00005286791,0.000066793],"domain_scores_gemma":[0.9971387,0.0009310188,0.0006422557,0.0003672929,0.0004853748,0.0004353881],"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":[0.0001578588,0.00003910172,0.009049537,0.00004467439,0.00001096325,0.0002697627,0.001857013,0.001470145,0.001336317,0.9348366,0.003364667,0.04756322],"study_design_scores_gemma":[0.00006525152,0.00009587392,0.06173936,0.0001555665,0.00002391717,0.0008959557,0.002991903,0.01658325,0.001252893,0.8321351,0.08401154,0.00004952366],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8301052,0.007158489,0.01370411,0.01682546,0.000134169,0.00001606176,0.0002286813,0.0001149109,0.1317127],"genre_scores_gemma":[0.9955385,0.0005519068,0.0006827589,0.00006936113,0.00007186107,0.000002839367,0.00001880045,0.000007612785,0.00305631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009938831,"threshold_uncertainty_score":0.03324872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00652993316745101,"score_gpt":0.20516086928335,"score_spread":0.1986309361158989,"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."}}