{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009809582,0.00004426447,0.00008250203,0.000583204,0.00006023568,0.000105872,0.0006689836,0.00003561998,7.374665e-8],"category_scores_gemma":[0.0001062672,0.00003588636,0.000006435129,0.001481631,0.000111895,0.002691894,0.0004430467,0.0002198608,1.994861e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004330037,"about_ca_system_score_gemma":0.0001526923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001731422,"about_ca_topic_score_gemma":6.603884e-7,"domain_scores_codex":[0.9992729,0.000003793369,0.0003137228,0.0001066778,0.0001775796,0.0001253602],"domain_scores_gemma":[0.9994223,0.00001903886,0.0002184062,0.0002170282,0.0001039376,0.00001928063],"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":[0.00000184594,0.000005277568,0.0000376675,0.00001952135,0.000001187455,2.74232e-7,0.0002400944,0.0002281016,0.005027109,0.4457375,0.000002108149,0.5486994],"study_design_scores_gemma":[0.00009090973,0.0001001478,0.0001329663,0.00003336796,0.000001158269,0.00009716317,0.0000956295,0.8794146,0.007642458,0.1077628,0.004585532,0.0000431926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2092754,0.0009444505,0.787061,0.002515636,0.0000361282,0.00009723756,4.729993e-7,0.00002736971,0.00004230339],"genre_scores_gemma":[0.9869578,0.000380687,0.01263542,0.00001717591,0.000006172303,0.00000154211,1.438366e-7,7.943295e-7,2.249044e-7],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8791865,"threshold_uncertainty_score":0.1951558,"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."}}