{"id":"W3041918593","doi":"","title":"Abstract for Central Counterparty Margin Frameworks | Bulletin – December Quarter 2017","year":2017,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Margin (machine learning); Medicine; Computer 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":[0.002894496,0.0006444059,0.0008591658,0.001447656,0.003053995,0.01084871,0.001714014,0.002744393,0.2287109],"category_scores_gemma":[0.00719131,0.0005124481,0.0009176212,0.002264715,0.001800142,0.0081592,0.002782045,0.00592605,0.02948792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004667131,"about_ca_system_score_gemma":0.006207704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02821445,"about_ca_topic_score_gemma":0.03804274,"domain_scores_codex":[0.9983472,0.0002844427,0.0000670376,0.000282939,0.000716813,0.000301682],"domain_scores_gemma":[0.9980234,0.0003940125,0.000096287,0.0002858895,0.0009761986,0.0002242614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006479393,0.00004512449,0.0004010517,0.0001033816,0.00001592311,0.00004258117,0.0002359593,0.001164761,0.000113283,0.5748117,0.3927597,0.03024178],"study_design_scores_gemma":[0.00003587972,0.00002491761,0.0009158537,0.0002643013,0.00003142737,0.00002996699,0.000377295,0.001526114,0.000272326,0.1224078,0.8740848,0.00002944663],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007756145,0.00332209,0.01279612,0.01772092,0.004022604,0.0001308601,0.002642729,0.0007308728,0.9508777],"genre_scores_gemma":[0.2272126,0.003231479,0.008949492,0.005476227,0.00281767,0.0002904988,0.003628553,0.001420147,0.7469735],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2287109,"threshold_uncertainty_score":0.7651141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03063403291353341,"score_gpt":0.2949512959697859,"score_spread":0.2643172630562525,"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."}}