{"id":"W2971348907","doi":"10.1109/sescps.2019.00013","title":"Decentralized Access Control for Smart Buildings Using Metadata and Smart Contracts","year":2019,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Access control; Computer science; Metadata; Overhead (engineering); Building automation; Control (management); Role-based access control; Computer access control; Resource (disambiguation); Computer security; World Wide Web; Computer network","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005061357,0.0003464416,0.0006556707,0.001049928,0.001456352,0.002657718,0.001284576,0.001125678,0.002609646],"category_scores_gemma":[0.00662497,0.0003918133,0.0006508646,0.001198048,0.002106621,0.006366206,0.003170161,0.001316981,0.0004782544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001732865,"about_ca_system_score_gemma":0.003279388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005082506,"about_ca_topic_score_gemma":0.005903195,"domain_scores_codex":[0.9963139,0.001417311,0.0003454359,0.0004181128,0.001134841,0.0003705154],"domain_scores_gemma":[0.9937266,0.002480069,0.0005845408,0.002214094,0.0006867019,0.0003080299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003500333,0.0003298643,0.003296465,0.0001893924,0.00005475077,0.0006176479,0.001590255,0.2201309,0.02252532,0.5930538,0.002919966,0.1549417],"study_design_scores_gemma":[0.00009970224,0.00007755803,0.000411728,0.000030895,0.00002391191,0.0001382786,0.0002001365,0.8350026,0.01074134,0.1363259,0.01690005,0.00004796507],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03919841,0.0001464164,0.9534562,0.0003852346,0.00003624441,0.0002866306,0.00009408806,0.001338039,0.005058689],"genre_scores_gemma":[0.7968256,0.0001825464,0.1960587,0.0001012842,0.000041818,0.0003229948,0.0002157967,0.0001423488,0.006108952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005082506,"threshold_uncertainty_score":0.02676731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03823251516419791,"score_gpt":0.2862335468911756,"score_spread":0.2480010317269777,"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."}}