{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008961755,0.0001082766,0.0003112735,0.0002335668,0.000102938,0.00003109367,0.0001598577,0.00007154008,0.00002863918],"category_scores_gemma":[0.00009947344,0.00008851229,0.0002241646,0.0001110864,0.00002199561,0.0008575542,0.00000756411,0.00006023189,0.00003512156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001232663,"about_ca_system_score_gemma":0.00003376282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005117146,"about_ca_topic_score_gemma":0.00001765845,"domain_scores_codex":[0.9985486,0.000006124697,0.001040318,0.000113922,0.00006824368,0.0002227754],"domain_scores_gemma":[0.9991362,0.00003163591,0.0005837128,0.0001015234,0.0001012031,0.00004572034],"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":[0.0003623216,0.0001293573,0.007359418,0.000109881,0.00005124621,0.00000226979,0.001399749,0.0001098984,0.0005114018,0.6394134,0.003677614,0.3468734],"study_design_scores_gemma":[0.004676356,0.0008160505,0.1375882,0.0002000242,0.00003944241,0.00001233499,0.00007386667,0.0002361514,0.00504617,0.2839936,0.5668644,0.0004534662],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.287985,0.0005847285,0.6944695,0.00216964,0.001336947,0.0005418997,0.0003070486,0.0000177658,0.01258745],"genre_scores_gemma":[0.9966654,0.0006144187,0.002053044,0.0001866616,0.0003406589,0.00002233812,0.00000488165,0.00001221082,0.0001003812],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7086804,"threshold_uncertainty_score":0.3609426,"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."}}