{"id":"W4387503020","doi":"10.3390/s23208352","title":"Secure and Robust Demand Response Using Stackelberg Game Model and Energy Blockchain","year":2023,"lang":"en","type":"article","venue":"Sensors","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; Canada Research Chairs","keywords":"Demand response; Smart grid; Computer science; Robustness (evolution); Computer security; Stackelberg competition; Blockchain; Smart contract; Database transaction; Distributed computing; Electricity; Engineering; Database","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":[0.00231644,0.001256741,0.001621074,0.000606414,0.0010782,0.001890157,0.001584033,0.001820205,0.00402096],"category_scores_gemma":[0.006136053,0.0005467818,0.0009356617,0.0009331435,0.001720706,0.002820756,0.001749306,0.001861525,0.0004645304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00165184,"about_ca_system_score_gemma":0.002301672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008611582,"about_ca_topic_score_gemma":0.007030902,"domain_scores_codex":[0.9978398,0.0007946157,0.0001078352,0.0004740174,0.000394192,0.0003894205],"domain_scores_gemma":[0.9952467,0.003089262,0.0006381641,0.0002994715,0.0004918671,0.0002344749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001592514,0.00006346533,0.0007720839,0.00006181509,0.00004286354,0.0002791822,0.00009713515,0.9477164,0.001525142,0.04149821,0.0006149505,0.007169494],"study_design_scores_gemma":[0.00002144279,0.00003108938,0.00006302764,0.000004078584,0.000007294671,0.00002259112,0.00001665406,0.9833919,0.000258761,0.01597756,0.0001965884,0.000009079153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1092191,0.0002945612,0.8812398,0.0007979036,0.00007548734,0.0002005802,0.0003090193,0.0002720263,0.007591543],"genre_scores_gemma":[0.9803286,0.0001875471,0.01592662,0.00007413596,0.0000215576,0.0001375147,0.0001101509,0.00002220991,0.003191639],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008611582,"threshold_uncertainty_score":0.01712292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02075633787835287,"score_gpt":0.2406649442464177,"score_spread":0.2199086063680648,"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."}}