{"id":"W4400990443","doi":"10.69554/jgoo7054","title":"The transition to T+1: Accelerated settlement cycles and progress so far","year":2023,"lang":"en","type":"article","venue":"Journal of securities operations & custody","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transition (genetics); Settlement (finance); Computer science; Biology; World Wide Web","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006746494,0.00009996285,0.0001405553,0.0001350242,0.0007516656,0.001228346,0.0004454933,0.00003275163,0.000003099241],"category_scores_gemma":[0.00002248065,0.00006930393,0.00004891415,0.000464866,0.0000605011,0.0004278095,0.0000790147,0.000132505,0.00001794262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000308645,"about_ca_system_score_gemma":0.0001140868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000108668,"about_ca_topic_score_gemma":0.00002843033,"domain_scores_codex":[0.9988447,0.0001109596,0.0004132557,0.0001244094,0.0002980338,0.0002086098],"domain_scores_gemma":[0.9992728,0.00007549328,0.00007849648,0.0001662672,0.0003095577,0.0000973358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001138761,0.0004216548,0.0007429049,0.0002092042,0.0005682499,0.0002991211,0.1306994,0.2768439,0.003257078,0.2269216,0.1942096,0.1657135],"study_design_scores_gemma":[0.001978834,0.001257296,0.0135722,0.000646371,0.00006662859,0.000778406,0.01179946,0.3808092,0.001082912,0.002363506,0.5848382,0.000807088],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8014679,0.004256376,0.1495389,0.04182044,0.001747496,0.0006546652,0.00008213889,0.0002190166,0.0002130237],"genre_scores_gemma":[0.9975029,0.0002640818,0.001605786,0.0002813326,0.0002030069,0.00001496252,0.00001108459,0.00000657317,0.0001102224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3906286,"threshold_uncertainty_score":0.9998085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02047374116860234,"score_gpt":0.2856616934047445,"score_spread":0.2651879522361422,"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."}}