{"id":"W3043032630","doi":"","title":"Sources of Financial Risk for Central Counterparties | Bulletin – September Quarter 2016","year":2016,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Global Financial Regulation and Crises","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Business; Finance; Actuarial science; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001581966,0.000563214,0.0004339787,0.00409109,0.0008322048,0.00451831,0.0003100948,0.0009661964,0.02378228],"category_scores_gemma":[0.01050443,0.0004462507,0.0003921347,0.004884764,0.0003315387,0.001794099,0.0009543329,0.001872909,0.007818792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002366741,"about_ca_system_score_gemma":0.001759583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0153679,"about_ca_topic_score_gemma":0.02639316,"domain_scores_codex":[0.9990141,0.00007101799,0.00007455637,0.00008202999,0.0006639524,0.00009430283],"domain_scores_gemma":[0.9952223,0.0008349056,0.001477577,0.0002664821,0.001886048,0.0003127879],"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":[0.0003790566,0.00005454747,0.03049039,0.0001622248,0.00006265264,0.000125479,0.0002870654,0.0007652041,0.0005445399,0.005423396,0.875739,0.08596641],"study_design_scores_gemma":[0.00007990942,0.00009287601,0.2424877,0.0005345609,0.00007617357,0.000366486,0.0005837181,0.002677506,0.001958759,0.005421129,0.7456424,0.00007879466],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2111489,0.06087819,0.003769777,0.06031327,0.01112244,0.0003136684,0.1637621,0.002817084,0.4858747],"genre_scores_gemma":[0.5648593,0.02228649,0.001626116,0.001364066,0.005837493,0.0001488975,0.05562688,0.0008485875,0.3474022],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02378228,"threshold_uncertainty_score":0.07955968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01593824545808824,"score_gpt":0.2054035892944495,"score_spread":0.1894653438363612,"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."}}