{"id":"W2987036065","doi":"10.1002/spy2.97","title":"A privacy‐preserving Blockchain with fine‐grained access control","year":2019,"lang":"en","type":"article","venue":"Security and Privacy","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Blockchain; Computer science; Cryptography; Access control; Key (lock); Simple (philosophy); Computer security; Component (thermodynamics); Biometrics; Distributed computing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000398492,0.0002260076,0.0003035743,0.0001471076,0.0002304081,0.0002443174,0.002143393,0.000180498,0.00005945615],"category_scores_gemma":[0.00006359695,0.0001892999,0.00005037858,0.0005635056,0.0001136347,0.0003365145,0.00115362,0.000403119,0.0000311469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001945434,"about_ca_system_score_gemma":0.00006906686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009806077,"about_ca_topic_score_gemma":0.0000509737,"domain_scores_codex":[0.9984051,0.00008036707,0.0002342003,0.000643502,0.000222915,0.0004139071],"domain_scores_gemma":[0.9982904,0.0001886129,0.0001290129,0.001163129,0.00009893517,0.0001299306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001410094,0.0004935014,0.05741104,0.0002825956,0.0002006167,0.00004250208,0.009571155,0.00008887475,0.001197067,0.9071494,0.001899711,0.02152256],"study_design_scores_gemma":[0.008057407,0.0007963642,0.02940566,0.0001947554,0.00006443044,0.0002300173,0.0001841618,0.3258507,0.003704494,0.5411415,0.08873297,0.001637635],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9374741,0.0004131972,0.0469719,0.01213187,0.00006162385,0.000769478,0.000009845437,0.0004556261,0.001712327],"genre_scores_gemma":[0.9949957,0.00002291652,0.004089086,0.000672269,0.00003970688,0.00007230677,0.000002709645,0.00001247727,0.00009286288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.366008,"threshold_uncertainty_score":0.7719426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009222078803363567,"score_gpt":0.2383348728646082,"score_spread":0.2291127940612446,"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."}}