{"id":"W4417484152","doi":"10.1016/j.bspc.2025.109314","title":"Securing electronic health records using blockchain-based bi-layer algorithm with bit swapping codon encryption","year":2025,"lang":"en","type":"article","venue":"Biomedical Signal Processing and Control","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Encryption; Scalability; Cryptography; Transparency (behavior); Information privacy; Database transaction; Data access; Latency (audio)","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":[0.000716318,0.0002083842,0.0003164861,0.0003300562,0.0006605306,0.0001349977,0.0003849343,0.0001924467,0.000005635216],"category_scores_gemma":[0.00001321661,0.000171601,0.00004004756,0.001059657,0.0002443168,0.00005862422,0.0000658827,0.0004161934,0.000001354575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001500693,"about_ca_system_score_gemma":0.0009069375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000119591,"about_ca_topic_score_gemma":0.0000122495,"domain_scores_codex":[0.9981143,0.00008923845,0.0003447204,0.0005785557,0.0002869087,0.0005862246],"domain_scores_gemma":[0.999228,0.00009207218,0.000184554,0.0002345896,0.0001067287,0.0001540501],"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":[0.00003165598,0.0001632825,0.0001725886,0.0001258133,0.00004199303,0.000005619216,0.0001141804,0.00006312493,0.002597717,0.004565523,0.00003395684,0.9920846],"study_design_scores_gemma":[0.001539551,0.0002697037,0.00008805582,0.0003070782,0.00002326298,0.00002055787,0.00004222625,0.9886721,0.0006751319,0.005157426,0.003000023,0.0002048557],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03180433,0.002959523,0.9580868,0.006459323,0.00003880597,0.0002859182,0.000003108225,0.0003297888,0.00003239683],"genre_scores_gemma":[0.9702796,0.00001573393,0.02796394,0.001583386,0.00006624863,0.0000600311,0.000002962518,0.000009494608,0.00001855925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9918797,"threshold_uncertainty_score":0.6997685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008311535560471218,"score_gpt":0.2496172635530778,"score_spread":0.2413057279926066,"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."}}