{"id":"W1880187435","doi":"10.1109/access.2015.2466077","title":"Delay Critical Smart Grid Applications and Adaptive QoS Provisioning","year":2015,"lang":"en","type":"article","venue":"IEEE Access","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Quality of service; Smart grid; Computer network; Wireless sensor network; Distributed computing; Provisioning; Real-time computing; 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":[0.0002213673,0.0001283649,0.0001350563,0.00008125589,0.0001657495,0.0004128141,0.000929287,0.00007221045,0.000002063702],"category_scores_gemma":[0.00005409522,0.000118089,0.00002528441,0.0003973259,0.0001145068,0.0008229191,0.0003551804,0.0001651285,0.00002864802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003733965,"about_ca_system_score_gemma":0.00007010038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000493614,"about_ca_topic_score_gemma":0.00001169737,"domain_scores_codex":[0.998711,0.00006511928,0.0001821815,0.0004506182,0.0002933895,0.0002976613],"domain_scores_gemma":[0.9987667,0.0002542932,0.00005148109,0.0004654305,0.0002141755,0.0002478973],"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":[0.0000705073,0.0007069799,0.008027302,0.00006719486,0.00007996912,0.000202164,0.002206821,0.2535944,0.001179011,0.5436477,0.03546755,0.1547504],"study_design_scores_gemma":[0.0006220354,0.0001668217,0.001790559,0.00007317201,0.00002064964,0.000104178,0.00006822799,0.9744503,0.00312802,0.004579884,0.01440641,0.0005897492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02621206,0.000241106,0.9692157,0.0006019298,0.0009266016,0.0002002505,0.000001911653,0.0002077266,0.002392694],"genre_scores_gemma":[0.9671983,0.000008493897,0.03181987,0.000354979,0.0004448336,0.00009490603,0.000001784437,0.00001267647,0.00006419892],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9409862,"threshold_uncertainty_score":0.481553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04993011376187503,"score_gpt":0.3163724247539424,"score_spread":0.2664423109920674,"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."}}