{"id":"W2063037514","doi":"10.1145/2487166.2487183","title":"MultiGreen","year":2013,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China","keywords":"Lyapunov optimization; Computer science; Renewable energy; Carbon footprint; Electricity; Leverage (statistics); Energy supply; Electricity market; Grid; Minification; Reliability engineering; Energy (signal processing); Greenhouse gas; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005744682,0.0005004742,0.0004006033,0.0004885347,0.0006040331,0.001648597,0.0009754573,0.0007172727,0.0167578],"category_scores_gemma":[0.001117729,0.0001967064,0.0003423767,0.0004155738,0.0003058973,0.001322648,0.001449305,0.001023462,0.004393512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006533524,"about_ca_system_score_gemma":0.0009849289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001145605,"about_ca_topic_score_gemma":0.002346584,"domain_scores_codex":[0.9996085,0.00005478498,0.00001489695,0.000116074,0.0001341208,0.00007168207],"domain_scores_gemma":[0.9995362,0.00008693233,0.00005014172,0.0001226935,0.0001226001,0.0000814215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004119523,0.0002735576,0.00234085,0.0002574129,0.00005298289,0.0003313157,0.00025214,0.08309885,0.02121551,0.1401528,0.05889491,0.6927177],"study_design_scores_gemma":[0.0000660614,0.0001940163,0.001066039,0.00005676489,0.00002202922,0.0004524261,0.0001809329,0.683094,0.01478244,0.05991473,0.2401343,0.00003612524],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03351152,0.00082067,0.8460603,0.001819254,0.0008928518,0.0002405762,0.0003833567,0.008315365,0.1079561],"genre_scores_gemma":[0.5274734,0.0008780681,0.3502118,0.001274995,0.0002348455,0.0002277619,0.001198987,0.001558215,0.1169419],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0167578,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009644840763211853,"score_gpt":0.202036903240624,"score_spread":0.1923920624774121,"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."}}