{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001746703,0.0003137292,0.0005866413,0.0005978072,0.0009642995,0.001421017,0.001375712,0.001123005,0.005066886],"category_scores_gemma":[0.002986711,0.0002769188,0.0004327224,0.0008658391,0.001248776,0.002324475,0.002469195,0.0009521273,0.001267648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006093456,"about_ca_system_score_gemma":0.001670956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001551972,"about_ca_topic_score_gemma":0.001664477,"domain_scores_codex":[0.9981818,0.0004466399,0.0001464167,0.0003271875,0.0006749274,0.0002230763],"domain_scores_gemma":[0.9973429,0.0005778789,0.0001915752,0.001264218,0.000402177,0.0002212691],"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":[0.0009293283,0.0004702935,0.002076443,0.0002683576,0.0001077471,0.001232135,0.0005767407,0.2443039,0.08661527,0.4082464,0.007410265,0.2477631],"study_design_scores_gemma":[0.0002644358,0.0002898753,0.0003737819,0.00004167701,0.00003341524,0.000464936,0.00005468297,0.7901521,0.02621305,0.1546945,0.02735103,0.00006658012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05050203,0.0001307026,0.9393599,0.0005123467,0.0001256995,0.0003698217,0.000224078,0.001243577,0.007531839],"genre_scores_gemma":[0.7798879,0.0001878308,0.2072701,0.0001309211,0.00007223081,0.000298158,0.0002988112,0.00007354158,0.01178053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005066886,"threshold_uncertainty_score":0.01695037,"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."}}