{"id":"W3143052639","doi":"10.1109/mwc.017.2100187","title":"Empowering Prosumer Communities in Smart Grid with Wireless Communications and Federated Edge Learning","year":2021,"lang":"en","type":"article","venue":"IEEE Wireless Communications","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Prosumer; Computer science; Smart grid; Scalability; Renewable energy; Computer security; Distributed computing; 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":[0.001890874,0.0004747307,0.0005312344,0.0002819265,0.0006005901,0.00119135,0.0010379,0.0008410008,0.0009718609],"category_scores_gemma":[0.002682363,0.0001829635,0.0003073094,0.0003195937,0.0007301811,0.002308559,0.002077334,0.000948258,0.0001945679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000460759,"about_ca_system_score_gemma":0.0008131624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001313121,"about_ca_topic_score_gemma":0.0016676,"domain_scores_codex":[0.9990841,0.0004554641,0.00002793636,0.000135057,0.0001801868,0.0001171555],"domain_scores_gemma":[0.999014,0.0004449941,0.000115468,0.0001813842,0.0001427458,0.0001013119],"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":[0.0003652252,0.0006276619,0.004321152,0.00007390726,0.00007325173,0.0003247943,0.0003355511,0.7901918,0.005073075,0.04102325,0.001560726,0.1560297],"study_design_scores_gemma":[0.000009875835,0.00004050737,0.0001588625,0.000004708476,0.000006039937,0.00002477387,0.00004366957,0.981573,0.0009270736,0.01655782,0.0006488397,0.000004887308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1626656,0.0002418035,0.8288995,0.0007248087,0.00004718802,0.00009866647,0.00002768707,0.0005365945,0.006758209],"genre_scores_gemma":[0.9553015,0.00006678039,0.04330627,0.0001125268,0.00001602842,0.00004411591,0.00002364938,0.00001322071,0.001115764],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001890874,"threshold_uncertainty_score":0.00999999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02525126323011078,"score_gpt":0.2554096721745271,"score_spread":0.2301584089444163,"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."}}