{"id":"W4400984528","doi":"10.23977/jeis.2024.090219","title":"Application of Blockchain Technology in Data Security and Privacy Protection","year":2024,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"Advanced Technologies and Applied Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blockchain; Computer security; Privacy protection; Internet privacy; Computer science; Information privacy; Data Protection Act 1998; Business","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":[0.002279804,0.0002971967,0.0003753543,0.0008883889,0.001120415,0.001178414,0.0006000137,0.001026112,0.00317037],"category_scores_gemma":[0.003362141,0.000225153,0.0003683904,0.001265501,0.001049335,0.002528875,0.001503551,0.000720148,0.0004765245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007277029,"about_ca_system_score_gemma":0.001839478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001587382,"about_ca_topic_score_gemma":0.0009570874,"domain_scores_codex":[0.9976467,0.000972879,0.0001108517,0.0002258691,0.0008752835,0.0001683481],"domain_scores_gemma":[0.9972787,0.001307892,0.000253735,0.0005922312,0.0004329969,0.0001344324],"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":[0.0006424323,0.0003274436,0.006754878,0.001144388,0.0001426935,0.001860106,0.001530118,0.1455094,0.110089,0.271111,0.004811696,0.4560768],"study_design_scores_gemma":[0.0002368004,0.00140501,0.002417302,0.0003885468,0.0001409468,0.001948653,0.0006639875,0.5034531,0.1363241,0.2417843,0.1110943,0.0001430887],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1763299,0.008808795,0.7782637,0.003669218,0.0003723667,0.0004659994,0.0001963671,0.0009767436,0.03091692],"genre_scores_gemma":[0.9286296,0.004102541,0.06158419,0.0001659242,0.00007760395,0.0001450088,0.00009430355,0.00002510936,0.005175638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00317037,"threshold_uncertainty_score":0.01205689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0100040878029344,"score_gpt":0.2660094782516503,"score_spread":0.256005390448716,"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."}}