{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001010174,0.00009633008,0.0001713328,0.0003441994,0.0002047149,0.00007077651,0.0003005878,0.00006509445,5.216833e-7],"category_scores_gemma":[0.00005650964,0.00008960839,0.00003155051,0.0006040668,0.0000277632,0.00005443616,0.0003953103,0.0001625493,0.00000703948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002595047,"about_ca_system_score_gemma":0.00001468591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001567159,"about_ca_topic_score_gemma":0.000009035806,"domain_scores_codex":[0.9990681,0.00003240328,0.0003116291,0.0002159486,0.0001826571,0.0001892083],"domain_scores_gemma":[0.999392,0.00004956401,0.0001859169,0.000230175,0.00005814637,0.00008422387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001499806,0.00005048829,0.00289149,0.00005922763,0.00001281287,0.00003293784,0.000734509,0.0004156141,0.0000263047,0.3084332,0.01124454,0.6760839],"study_design_scores_gemma":[0.0009982637,0.0003127613,0.3564972,0.0001044149,0.00005685074,0.00005681425,0.0004182581,0.04571757,0.00005549809,0.05900384,0.5365124,0.0002661035],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2330807,0.0004034145,0.7644359,0.0011187,0.0002478571,0.0003887096,0.000008781712,0.00007515004,0.0002407557],"genre_scores_gemma":[0.990093,0.001078654,0.008416944,0.0001305839,0.0001186646,0.00004976204,5.130381e-7,0.000005739627,0.000106119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7570123,"threshold_uncertainty_score":0.3654124,"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."}}