{"id":"W2065522495","doi":"10.1145/2642687.2642695","title":"Quality of service differentiation for smart grid neighbor area networks through multiple RPL instances","year":2014,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quality of service; Computer science; Computer network; Smart grid; Distributed computing; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.000161377,0.0001152677,0.0002056057,0.0000195333,0.00005844578,0.00001579223,0.0001414167,0.00008952129,0.0000282325],"category_scores_gemma":[0.0000601592,0.00009593584,0.00006346743,0.0001356036,0.00002282675,0.0001830863,0.00001979653,0.000075467,0.000002964312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001447013,"about_ca_system_score_gemma":0.000004880706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001678283,"about_ca_topic_score_gemma":0.002611162,"domain_scores_codex":[0.9992418,0.00002848255,0.0002808885,0.0001406989,0.0001193786,0.0001887333],"domain_scores_gemma":[0.9993259,0.0003190516,0.00005422116,0.0001932006,0.00007289053,0.00003469233],"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":[0.0002880377,0.000356293,0.1492252,0.002609848,0.0002564901,3.157641e-7,0.003831935,0.7532675,0.01557947,0.0559233,0.009172601,0.009489112],"study_design_scores_gemma":[0.0006399347,0.00003128099,0.07067137,0.00003621214,0.00001017433,2.560639e-7,0.0001225511,0.9156321,0.006734685,0.0009592972,0.004969736,0.0001924194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.471235,0.0001328863,0.5246083,0.00009354108,0.001016337,0.0001983485,0.00001698947,0.0001474671,0.002551203],"genre_scores_gemma":[0.9976631,0.00005803618,0.001764036,0.0001663768,0.0002418496,0.00002597716,0.00004458229,0.00001264443,0.00002341122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5264281,"threshold_uncertainty_score":0.391215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02514129008302056,"score_gpt":0.242742357543619,"score_spread":0.2176010674605984,"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."}}