{"id":"W4404628620","doi":"10.1109/ciot63799.2024.10757114","title":"ElectroBlock: Reinforcement Learning and Blockchain-based Energy Trade to Optimize Tariffs","year":2024,"lang":"en","type":"article","venue":"","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Blockchain; Reinforcement learning; Computer science; Energy (signal processing); Artificial intelligence; Computer security","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":[0.001274524,0.0007019683,0.0007656464,0.0003185995,0.0003996121,0.0007804392,0.001303046,0.0009816511,0.006200931],"category_scores_gemma":[0.003300048,0.0003730356,0.0003334399,0.0003384677,0.000728234,0.001514032,0.001394835,0.001402138,0.0008578941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008542544,"about_ca_system_score_gemma":0.001429011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007266994,"about_ca_topic_score_gemma":0.009268017,"domain_scores_codex":[0.9995291,0.0001690445,0.00002233695,0.00009544988,0.000108147,0.00007595775],"domain_scores_gemma":[0.9984755,0.0009060474,0.0001191443,0.000187471,0.0001894444,0.0001222965],"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":[0.000198,0.0001727049,0.0008448479,0.00004313277,0.00003065902,0.00005664605,0.00003400139,0.9516677,0.0009317669,0.005000222,0.001526291,0.03949404],"study_design_scores_gemma":[0.00002047871,0.00002859718,0.00004194259,0.000002389266,0.000002128475,0.000005059572,0.000002959091,0.997157,0.000269629,0.002142861,0.000324394,0.000002650603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1318256,0.0006364357,0.8452893,0.001054371,0.0002277667,0.0002891025,0.0004081574,0.005618467,0.01465074],"genre_scores_gemma":[0.9327235,0.0001483423,0.06025662,0.0001926514,0.00003311915,0.0001572558,0.0002094776,0.0001091581,0.006169845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007266994,"threshold_uncertainty_score":0.0207442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005623209700220557,"score_gpt":0.2222112117995076,"score_spread":0.2165880020992871,"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."}}