{"id":"W4393372130","doi":"10.1109/jiot.2024.3382829","title":"A Reputation-Enhanced Shard-Based Byzantine Fault-Tolerant Scheme for Secure Data Sharing in Zero Trust Human Digital Twin Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Byzantine fault tolerance; Distributed computing; Fault tolerance; Latency (audio); Data sharing; Access control; Computer network; Data integrity; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00101443,0.0001779306,0.0003006503,0.0003859888,0.00009173111,0.0009231841,0.002918037,0.0001530629,0.000006695551],"category_scores_gemma":[0.00009693826,0.0001623453,0.0001053314,0.0003796729,0.00006850815,0.001258023,0.0003542296,0.0006365454,0.000005931599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005646861,"about_ca_system_score_gemma":0.00008760193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000527323,"about_ca_topic_score_gemma":0.00000564946,"domain_scores_codex":[0.9980341,0.0000190774,0.0007650307,0.0006204106,0.0002733485,0.0002880643],"domain_scores_gemma":[0.9985536,0.000104324,0.0003040473,0.000806295,0.0001637508,0.00006794093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003840321,0.002476506,0.00472844,0.004155972,0.001499162,0.000840229,0.03071767,0.0148472,0.1517201,0.6279324,0.0453808,0.1153175],"study_design_scores_gemma":[0.0005442967,0.0001159973,0.00002768891,0.0008747216,0.00001049535,0.0001451475,0.00006423154,0.9798885,0.008388622,0.007253066,0.002506774,0.0001804613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2928232,0.0003810001,0.7051793,0.0006289834,0.0004680332,0.0002257013,0.00002730512,0.0001496461,0.0001168232],"genre_scores_gemma":[0.9838613,0.00000487309,0.01575968,0.00006586133,0.0000935691,0.00003352304,0.00002603203,0.00001981581,0.0001353924],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9650413,"threshold_uncertainty_score":0.8902286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0349695312030927,"score_gpt":0.3058653059037197,"score_spread":0.270895774700627,"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."}}