{"id":"W3110147302","doi":"10.1109/ccece47787.2020.9255702","title":"Integrated Control of Multiple Data Centre Cooling Units","year":2020,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Leverage (statistics); Workload; Server; Modular design; Computer science; Data center; Water cooling; Energy consumption; Control (management); Engineering; Operating system; Mechanical 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":[0.0006172356,0.0007585186,0.0005915784,0.0002622403,0.0006390017,0.00143319,0.001378289,0.0005155813,0.002257767],"category_scores_gemma":[0.001037129,0.0004077939,0.0003884114,0.0004299884,0.0006334665,0.000654817,0.001097757,0.0007519452,0.0003388539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001142629,"about_ca_system_score_gemma":0.001627477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009839161,"about_ca_topic_score_gemma":0.01000301,"domain_scores_codex":[0.9994823,0.00006613473,0.0000167428,0.0001854407,0.000115106,0.0001342587],"domain_scores_gemma":[0.999522,0.00009566198,0.0001037629,0.00004010554,0.0001742947,0.00006412098],"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":[0.0003124762,0.0001402148,0.001203723,0.00008903618,0.00004413958,0.00006689144,0.00008927935,0.9293941,0.02789993,0.005548257,0.001064066,0.03414792],"study_design_scores_gemma":[0.00002379128,0.0001024143,0.0004727467,0.000004873288,0.00001396509,0.00001079463,0.00001634878,0.9933591,0.003733237,0.001087337,0.001165195,0.00001018472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1492405,0.0003040202,0.8367547,0.0003085747,0.000129049,0.000181437,0.0001410721,0.0009034371,0.0120373],"genre_scores_gemma":[0.9849336,0.00005558419,0.013062,0.00003065929,0.00001491618,0.0000702542,0.0000253543,0.00002068983,0.001786978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009839161,"threshold_uncertainty_score":0.01956373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04914847458169656,"score_gpt":0.2306275410658411,"score_spread":0.1814790664841446,"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."}}