{"id":"W2811112224","doi":"10.1007/s10916-018-0995-5","title":"Towards Secure and Privacy-Preserving Data Sharing in e-Health Systems via Consortium Blockchain","year":2018,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":610,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Science Foundation of Anhui Province; National Natural Science Foundation of China","keywords":"Blockchain; Computer science; Computer security; Data sharing; Encryption; Immutability; Scheme (mathematics); Block (permutation group theory); Private information retrieval; Security analysis; Public-key cryptography","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.008929464,0.0001422625,0.0005143294,0.0002575628,0.0001432139,0.000165319,0.005510448,0.0003024558,0.000009427046],"category_scores_gemma":[0.0006937463,0.0001119074,0.00003007147,0.0004955833,0.000177597,0.0002009278,0.00261427,0.0007499208,0.000004121421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009295691,"about_ca_system_score_gemma":0.0003556224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00107229,"about_ca_topic_score_gemma":0.00007833922,"domain_scores_codex":[0.9966864,0.0002354926,0.001222889,0.0004395107,0.001045695,0.0003699919],"domain_scores_gemma":[0.9971784,0.0001403651,0.0007301155,0.001383101,0.000179838,0.0003881545],"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":[0.00009343446,0.001483592,0.05671104,0.005699219,0.0006615001,0.001308105,0.01491114,0.0003512247,0.0005906023,0.6995604,0.06686264,0.1517671],"study_design_scores_gemma":[0.0007367721,0.0001936511,0.001039988,0.001217769,0.00000600902,0.001886062,0.0003573836,0.9695987,0.00001585241,0.002322703,0.02247198,0.0001531426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2084051,0.01515018,0.7400415,0.03337334,0.002158125,0.0005550752,0.000008732709,0.0001177455,0.0001902223],"genre_scores_gemma":[0.9965695,0.0002216736,0.002481038,0.000147782,0.0005461577,0.000007919301,9.60895e-7,0.000008929944,0.00001601386],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9692475,"threshold_uncertainty_score":0.9998702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03989866320992282,"score_gpt":0.320735460184405,"score_spread":0.2808367969744822,"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."}}