{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003158966,0.0003054221,0.000370177,0.0002204937,0.0008014685,0.0002470874,0.001171192,0.0001114859,0.00001968085],"category_scores_gemma":[0.00001352597,0.0003452119,0.00004413292,0.0007642187,0.0004347074,0.0003442437,0.0008351957,0.0009905568,0.00001776267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001651842,"about_ca_system_score_gemma":0.00006841368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005215395,"about_ca_topic_score_gemma":0.01440677,"domain_scores_codex":[0.9982799,0.0004331764,0.0004781589,0.0002123404,0.0001886486,0.0004077355],"domain_scores_gemma":[0.9962536,0.0004322768,0.00008018863,0.002953307,0.0001761109,0.0001044917],"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":[0.0001178336,0.002578178,0.3829114,0.001517546,0.002302175,0.0001340502,0.04706086,0.3919612,0.03569283,0.03872104,0.003798028,0.09320481],"study_design_scores_gemma":[0.001824507,0.00007714894,0.02163416,0.001018351,0.0001066604,0.00008302115,0.01487545,0.8405072,0.003775909,0.00007603989,0.1147364,0.001285161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9683681,0.004443321,0.004628626,0.001384557,0.0003349093,0.0004513555,0.00002216321,0.0009106933,0.01945632],"genre_scores_gemma":[0.9861456,0.009393358,0.003236801,0.00008613559,0.00002946556,0.0004049507,0.0003414959,0.00009990238,0.0002622981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.448546,"threshold_uncertainty_score":0.9999,"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."}}