{"id":"W2318834457","doi":"10.1007/s10922-016-9375-y","title":"Reliable Communication Networks for Smart Grid Transmission Systems","year":2016,"lang":"en","type":"article","venue":"Journal of Network and Systems Management","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; International Cancer Imaging Society","keywords":"Computer science; Reliability (semiconductor); Heuristics; Distributed computing; Heuristic; Greedy algorithm; Smart grid; Telecommunications network; Network planning and design; Wireless mesh network; Computer network; Mathematical optimization; Power (physics); Algorithm; Wireless network; Wireless","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008766339,0.0003441446,0.0003646252,0.0005167703,0.0006348983,0.001410416,0.0007952588,0.0007652952,0.006693764],"category_scores_gemma":[0.003233952,0.0002580214,0.0001559151,0.0005632116,0.0005842099,0.002105588,0.0005943811,0.0009360893,0.0006263365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008382634,"about_ca_system_score_gemma":0.0007152403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00143317,"about_ca_topic_score_gemma":0.002998382,"domain_scores_codex":[0.9996417,0.00009548775,0.00001677131,0.00005248114,0.0001575479,0.00003599344],"domain_scores_gemma":[0.998466,0.0005162004,0.0001836593,0.0003250563,0.0004678111,0.00004135233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003352432,0.00006646853,0.0009526878,0.0004408522,0.00005070339,0.000404795,0.0002695855,0.1640491,0.01152229,0.5173678,0.04196812,0.2625723],"study_design_scores_gemma":[0.00005809523,0.000205264,0.0008490443,0.0001239796,0.00004806073,0.0002425214,0.0001347146,0.6114251,0.004651614,0.3091216,0.07310379,0.00003631747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06050007,0.008608235,0.8785183,0.009667923,0.001465263,0.0001529268,0.0003522269,0.001413149,0.03932193],"genre_scores_gemma":[0.9093868,0.004275065,0.06957975,0.0002952291,0.000854288,0.0001178274,0.0002186097,0.0001212988,0.01515118],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006693764,"threshold_uncertainty_score":0.02239281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0115254279020293,"score_gpt":0.21438322089759,"score_spread":0.2028577929955607,"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."}}