{"id":"W4319342003","doi":"10.1109/tcss.2023.3241065","title":"Cross-Chain Digital Asset System for Secure Trading and Payment","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Computational Social Systems","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nipissing University","funders":"National Natural Science Foundation of China","keywords":"Interoperability; Payment; Asset (computer security); Computer science; Computer security; Digital currency; Chain (unit); IT asset management; Payment service provider; Server; Supply chain; Digital signature; Business; Computer network; Finance; World Wide Web; Hash function; Asset management; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006977478,0.0002977074,0.0003364022,0.0006778716,0.0008767893,0.001289197,0.0008798703,0.0007679281,0.008166964],"category_scores_gemma":[0.001152046,0.0001438021,0.0002392387,0.0006577891,0.0004935238,0.002402194,0.001874952,0.0005424251,0.001989954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006800846,"about_ca_system_score_gemma":0.001061235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001076082,"about_ca_topic_score_gemma":0.0008052291,"domain_scores_codex":[0.9991762,0.0001756698,0.00007364188,0.0001471589,0.0003251635,0.0001021256],"domain_scores_gemma":[0.9992386,0.0001366839,0.00006683308,0.0002251159,0.0002538332,0.00007891836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001286583,0.0004929134,0.008200965,0.0004933178,0.0001161398,0.001858829,0.001159335,0.07162887,0.09037399,0.2140233,0.01638835,0.5939775],"study_design_scores_gemma":[0.0002055558,0.0006266112,0.001705208,0.00007600315,0.0001182448,0.001202978,0.0001988355,0.8093867,0.06369392,0.03497187,0.08772813,0.00008586706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1006344,0.0006252113,0.8650175,0.0004838076,0.0001957928,0.0005517582,0.0002023857,0.004002833,0.02828617],"genre_scores_gemma":[0.91773,0.0003118055,0.06928158,0.0001567705,0.00005136757,0.0001922933,0.0002889381,0.00005905519,0.01192804],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008166964,"threshold_uncertainty_score":0.02732122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01963627796259754,"score_gpt":0.2760646346318671,"score_spread":0.2564283566692696,"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."}}