{"id":"W2594106500","doi":"","title":"Preparing for Shortened Settlement Cycles Beyond T+2","year":2016,"lang":"en","type":"article","venue":"Journal of financial transformation","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Settlement (finance); Clearing; Market liquidity; Business; Corporation; Scope (computer science); Investment (military); Quarter (Canadian coin); Unit (ring theory); Finance; Geography; Political science; Law","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":[0.008723115,0.0005586766,0.0004088483,0.001116803,0.003776854,0.005484482,0.001695693,0.003354161,0.1131178],"category_scores_gemma":[0.03054029,0.0005774496,0.0008837294,0.0008117812,0.0009658898,0.005067453,0.004734931,0.004177633,0.04297939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002471029,"about_ca_system_score_gemma":0.009361805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005381328,"about_ca_topic_score_gemma":0.01268137,"domain_scores_codex":[0.9952562,0.0008163422,0.0002620223,0.0003662752,0.002254433,0.001044739],"domain_scores_gemma":[0.984287,0.001148408,0.001138798,0.001408619,0.006373789,0.005643394],"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":[0.0003169708,0.0002834207,0.002537878,0.0001353893,0.0000104415,0.0003512359,0.000990159,0.0008383258,0.002557877,0.054041,0.7709117,0.1670255],"study_design_scores_gemma":[0.0001076112,0.0002681403,0.003613593,0.00009839827,0.000004757868,0.0001461023,0.0006122636,0.0006551138,0.001191185,0.01117379,0.982091,0.00003804373],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09368692,0.004809527,0.09855586,0.1127139,0.05134329,0.004127911,0.005404339,0.007495672,0.6218625],"genre_scores_gemma":[0.3344011,0.00205621,0.07774291,0.02745001,0.005274201,0.002677772,0.008039785,0.003279882,0.5390782],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1131178,"threshold_uncertainty_score":0.3784169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02084072629211349,"score_gpt":0.2317836833362432,"score_spread":0.2109429570441297,"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."}}