{"id":"W4385583293","doi":"10.1016/j.comnet.2023.109956","title":"Exploring the potential, limitations, and future directions of wireless technologies in smart grid networks: A comparative analysis","year":2023,"lang":"en","type":"article","venue":"Computer Networks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Smart grid; Computer science; Smart meter; Grid; Network packet; Wireless; Electricity; Telecommunications; Computer network; Electrical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001342655,0.0001190439,0.0002415473,0.0002883889,0.0001256033,0.00004026341,0.0001773429,0.00006913625,7.513199e-7],"category_scores_gemma":[0.000002346268,0.00009397031,0.00006921293,0.002612551,0.0001085497,0.0001361095,0.0001014599,0.0002842118,0.000001304783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001387029,"about_ca_system_score_gemma":0.000003587589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001045782,"about_ca_topic_score_gemma":0.0002222543,"domain_scores_codex":[0.9992892,0.00004505796,0.0002083148,0.0001617173,0.00008271814,0.0002129482],"domain_scores_gemma":[0.9994943,0.0002220782,0.00003175749,0.0002017345,0.00002826195,0.00002192783],"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":[0.00000272868,0.000008934566,0.002001172,0.00000907869,0.0001436279,0.000004426298,0.0009335079,0.9589151,0.00000259989,0.0001727333,0.0009203307,0.03688572],"study_design_scores_gemma":[0.00007125818,0.00001179789,0.08641291,0.00003175679,0.00004878179,0.000001973026,0.001175352,0.9097247,0.0000093075,0.0000270914,0.002390599,0.00009450516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8685762,0.006790021,0.1203994,0.0003732136,0.002778573,0.0002232594,0.000003901934,0.000787996,0.00006740603],"genre_scores_gemma":[0.9771543,0.02198026,0.0003099112,0.00000793355,0.0004689816,0.00005296411,0.00001596971,0.000007215169,0.000002469179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1200895,"threshold_uncertainty_score":0.3831998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0358918470793053,"score_gpt":0.2238176784431304,"score_spread":0.1879258313638251,"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."}}