{"id":"W4387822231","doi":"10.3390/jrfm16100452","title":"Blockchain Application to Financial Market Clearing and Settlement Systems","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clearing; Blockchain; Settlement (finance); Financial market; Finance; Business; Computer science; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003263608,0.0002797449,0.0003681012,0.0008797198,0.000958795,0.002025243,0.0008103927,0.001159175,0.008138224],"category_scores_gemma":[0.00848936,0.0002448654,0.000498578,0.001478681,0.001068184,0.002569044,0.002850506,0.001044616,0.001429106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009558107,"about_ca_system_score_gemma":0.002349983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001835816,"about_ca_topic_score_gemma":0.001911798,"domain_scores_codex":[0.9978938,0.0009711016,0.0001634345,0.00014352,0.0006746489,0.0001535396],"domain_scores_gemma":[0.9956256,0.002474004,0.0002872685,0.0006852783,0.000728428,0.0001994582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002819449,0.0003098727,0.004142439,0.001606163,0.0000847984,0.00229528,0.002901654,0.1818115,0.0284815,0.3626001,0.009577163,0.4059076],"study_design_scores_gemma":[0.0001592532,0.0003991832,0.001308093,0.0004786947,0.0000608833,0.001095764,0.0007643256,0.6037288,0.0397499,0.1569201,0.1952484,0.00008665789],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07294655,0.001354557,0.8701861,0.001685519,0.0002481488,0.0008249152,0.0003175556,0.002775271,0.04966146],"genre_scores_gemma":[0.6665496,0.002333901,0.3133786,0.0002431062,0.0000763939,0.0004206157,0.0005468387,0.0002215818,0.01622943],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008138224,"threshold_uncertainty_score":0.02722502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004960252404754253,"score_gpt":0.2097665263687432,"score_spread":0.204806273963989,"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."}}