{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001695517,0.0004525552,0.0004692515,0.0004138014,0.0004204379,0.001174795,0.0008269075,0.0003536059,0.0007069798],"category_scores_gemma":[0.002730232,0.0001909506,0.0003408007,0.0003412142,0.0005863003,0.001119986,0.0007055044,0.0006823348,0.00008722674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001587663,"about_ca_system_score_gemma":0.0007394993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002328801,"about_ca_topic_score_gemma":0.003202063,"domain_scores_codex":[0.9993134,0.0002892372,0.00002735338,0.00008535897,0.0001595081,0.0001251921],"domain_scores_gemma":[0.9987622,0.0006061861,0.000195057,0.0001658017,0.0001714141,0.00009934318],"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":[0.0002864579,0.0001463821,0.001622503,0.00006387121,0.00002767084,0.0001481299,0.00009223163,0.8950002,0.01068856,0.0206585,0.0008180342,0.07044761],"study_design_scores_gemma":[0.000009545915,0.00007328534,0.0002219749,0.000002423277,0.000006803946,0.00003264216,0.00002400049,0.9948972,0.001839492,0.002564369,0.0003228983,0.000005416995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4319318,0.0003060694,0.5604476,0.0004113625,0.00005620232,0.0001635744,0.00008595762,0.001056076,0.005541107],"genre_scores_gemma":[0.9508195,0.00005881338,0.04854446,0.00003173991,0.000008305647,0.00003289556,0.00003442289,0.00003397219,0.0004359084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002328801,"threshold_uncertainty_score":0.01151931,"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."}}