{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000423356,0.000134182,0.0001484561,0.0002221915,0.0001991371,0.00005673883,0.0002363616,0.0001613719,0.000001078294],"category_scores_gemma":[0.00004300268,0.000132953,0.00002235779,0.0005708557,0.0001479253,0.00004644781,0.000335291,0.0001344616,0.000003134517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001742173,"about_ca_system_score_gemma":0.00003456204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003330784,"about_ca_topic_score_gemma":0.00003301158,"domain_scores_codex":[0.9989364,0.0000873533,0.000149174,0.0004334038,0.0001170847,0.0002765931],"domain_scores_gemma":[0.999232,0.0001340495,0.00005147888,0.00045005,0.00004126503,0.00009115705],"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":[0.0001020519,0.00007505355,0.0005587504,0.00004156277,0.00006412144,0.0001215377,0.005587568,0.5614895,0.01256091,0.4060029,0.00105657,0.01233943],"study_design_scores_gemma":[0.0001864298,0.00002246323,0.0003676673,0.000008399238,0.000005690303,0.0000554332,0.00009833547,0.9789818,0.0006364789,0.01866676,0.000818909,0.0001516195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9287991,0.0002051777,0.06849319,0.002017809,0.00002765453,0.00005655484,0.000006640808,0.000351695,0.00004220975],"genre_scores_gemma":[0.9844363,0.000100178,0.01479883,0.0001487151,0.00001557887,0.000009540424,0.0000010814,0.00001218469,0.0004776079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4174923,"threshold_uncertainty_score":0.5421667,"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."}}