{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007560898,0.0002536228,0.0003522846,0.00006037289,0.001130058,0.0002098359,0.0008145832,0.0003585287,0.005260839],"category_scores_gemma":[0.0002449626,0.0002459945,0.0002381572,0.00002782006,0.000658365,0.0001254159,0.0001134515,0.0003139836,0.001040984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001050691,"about_ca_system_score_gemma":0.00009190571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003722394,"about_ca_topic_score_gemma":0.0002440584,"domain_scores_codex":[0.997684,0.0000502009,0.0004610389,0.0004331938,0.0006209687,0.0007505824],"domain_scores_gemma":[0.998411,0.0002217927,0.0004440478,0.0005812699,0.0000808285,0.0002610541],"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":[0.0001399259,0.0001457357,0.002018164,0.00003045203,0.00005406087,0.000007721398,0.001684803,0.0000254045,0.00008480913,0.001876966,0.9938189,0.0001130052],"study_design_scores_gemma":[0.0005601903,0.00003588444,0.08585618,0.0001155602,0.00002025455,0.000001315849,0.0003298847,0.00001321507,0.0000630549,0.0007087725,0.9120073,0.0002883836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.009773315,0.0001924894,0.0008797771,0.9500497,0.001487366,0.0009581153,0.0000587373,0.00007831378,0.03652219],"genre_scores_gemma":[0.9937443,0.000556673,0.002434579,0.0009262137,0.0006203146,0.0000851185,0.00003390771,0.00003096811,0.00156796],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9839709,"threshold_uncertainty_score":0.9999992,"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."}}