{"id":"W1988063116","doi":"10.1109/smartgrid.2010.5622069","title":"Coordination of Cloud Computing and Smart Power Grids","year":2010,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cloud computing; Computer science; Smart grid; Load balancing (electrical power); Distributed computing; Robustness (evolution); Grid; Grid computing; Cloud testing; Energy consumption; Computer network; Engineering; Cloud computing security; Operating system; Electrical 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":[0.0003723654,0.00006798021,0.00009265536,0.0000673313,0.00007890898,0.00005795095,0.0003088436,0.00003230806,0.000009029384],"category_scores_gemma":[0.00002441369,0.00005606007,0.00002680058,0.0001700348,0.00004363961,0.00001656432,0.0004294124,0.0001063259,0.00000595182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003855605,"about_ca_system_score_gemma":0.000007686996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004551925,"about_ca_topic_score_gemma":0.000007647079,"domain_scores_codex":[0.999361,0.00002010256,0.0001511812,0.0001965734,0.0001437188,0.0001274205],"domain_scores_gemma":[0.9994966,0.00007167475,0.00006388257,0.0002724945,0.00005182434,0.00004345912],"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":[0.000003621009,0.0001608943,0.02013577,0.00004839315,0.00004048623,0.000007295145,0.002081023,0.000605132,0.007505409,0.7643262,0.006254067,0.1988317],"study_design_scores_gemma":[0.0005533473,0.000134688,0.05776696,0.00002526433,0.000006695819,0.00002545979,0.0001128389,0.9192609,0.002757001,0.002684972,0.0164166,0.0002552416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8642335,0.00001194716,0.118425,0.001006697,0.0006660424,0.00005957968,8.93888e-8,0.0001082502,0.01548894],"genre_scores_gemma":[0.9811869,2.057789e-7,0.01804688,0.0001366245,0.00005565846,3.169183e-7,1.660849e-7,0.000003178198,0.0005700785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9186558,"threshold_uncertainty_score":0.2286064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006426381937483874,"score_gpt":0.2243658813843101,"score_spread":0.2179394994468262,"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."}}