{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004351494,0.0001521877,0.0002934308,0.00007674039,0.000112159,0.001000711,0.0007099097,0.00005403483,0.00001540567],"category_scores_gemma":[0.00007276385,0.0001276312,0.00008801233,0.000109715,0.00002272506,0.002137028,0.0002151085,0.00008025846,0.000007228964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002527093,"about_ca_system_score_gemma":0.00005260327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005389092,"about_ca_topic_score_gemma":0.00002642615,"domain_scores_codex":[0.9987471,0.00004441965,0.0002211811,0.0004528037,0.0001764711,0.0003580187],"domain_scores_gemma":[0.9989163,0.0003160764,0.00009186361,0.0004484535,0.0001010116,0.0001262688],"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":[0.0009677583,0.0004560814,0.1445276,0.0002584247,0.001129676,0.00004529212,0.0004739298,0.0007885711,0.3010778,0.4657863,0.008483562,0.07600503],"study_design_scores_gemma":[0.01014496,0.0001620005,0.00598351,0.00007730031,0.0001413128,0.00007418841,0.00003065138,0.9380901,0.004814016,0.00258653,0.03718323,0.0007121566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3931328,0.0002669863,0.6048796,0.0005567003,0.0004245604,0.0004375298,0.000008575625,0.00009583157,0.000197495],"genre_scores_gemma":[0.9850168,0.00002289169,0.01209779,0.002138885,0.00002683592,0.00001084642,0.000003386296,0.00001034088,0.0006721869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9373016,"threshold_uncertainty_score":0.9649878,"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."}}