{"id":"W2001069124","doi":"10.1109/mwc.2013.6549287","title":"Challenges and research opportunities in wireless communication networks for smart grid","year":2013,"lang":"en","type":"article","venue":"IEEE Wireless Communications","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Computer network; Quality of service; Redundancy (engineering); Wireless mesh network; Wireless network; Smart grid; Wireless; Provisioning; Distributed computing; Wireless WAN; Key distribution in wireless sensor networks; Telecommunications","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":[0.0007879022,0.0001452118,0.0002139784,0.0002212451,0.0004026808,0.00008918937,0.001100932,0.000160317,0.000006016516],"category_scores_gemma":[0.00002700527,0.0001555001,0.00003577562,0.0002097213,0.0005312748,0.000363502,0.0002315409,0.0006022752,0.00001180189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006280711,"about_ca_system_score_gemma":0.00002817179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002080633,"about_ca_topic_score_gemma":0.002153708,"domain_scores_codex":[0.9986821,0.0002927901,0.0003217833,0.0001717331,0.0001522457,0.0003793191],"domain_scores_gemma":[0.9967625,0.001263048,0.0000357998,0.001630373,0.0002028571,0.0001054646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003647985,0.0007448887,0.002479291,0.0008818996,0.0001782755,0.000003344194,0.02466832,0.01100906,0.003789117,0.2498911,0.01793026,0.6883879],"study_design_scores_gemma":[0.000710173,0.00006574646,0.02154247,0.0004953425,0.000013232,0.00001271788,0.00829512,0.9401233,0.0005208858,0.004817209,0.02287715,0.0005266455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9130449,0.05585807,0.001629474,0.009208581,0.0005568339,0.002100646,0.00002773501,0.0004675128,0.01710623],"genre_scores_gemma":[0.8548347,0.1432745,0.000611541,0.00003343503,0.00005747408,0.00105683,0.00004576553,0.00003019717,0.00005557875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9291143,"threshold_uncertainty_score":0.6341109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1777689333747918,"score_gpt":0.3310377388607589,"score_spread":0.1532688054859672,"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."}}