{"id":"W4392529864","doi":"10.1016/j.egyr.2024.03.001","title":"Smart energy management using green computing","year":2024,"lang":"en","type":"article","venue":"Energy Reports","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Energy management; Green computing; Computer science; Energy (signal processing); Telecommunications; Cloud computing; Physics; Operating system","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":[0.0006734623,0.0004646044,0.0002873027,0.0009698615,0.0004091476,0.002498663,0.0005040587,0.0006246724,0.007938513],"category_scores_gemma":[0.001368233,0.0001522461,0.0003118169,0.001493114,0.0006582428,0.002757477,0.001131567,0.001074103,0.001686501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008041848,"about_ca_system_score_gemma":0.0007576484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00147093,"about_ca_topic_score_gemma":0.002726484,"domain_scores_codex":[0.9995845,0.00009367069,0.00001390528,0.00003589123,0.0002222468,0.00004980153],"domain_scores_gemma":[0.999374,0.0001714172,0.00005472409,0.0001811428,0.0001701567,0.00004862929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001861241,0.0003315559,0.00275079,0.0002079455,0.00008371429,0.0001819506,0.0001822409,0.0355902,0.009982487,0.3975736,0.08348113,0.4694483],"study_design_scores_gemma":[0.00003814342,0.0001585803,0.003498932,0.0002043366,0.00006437737,0.0001593156,0.0005222692,0.1959878,0.02947965,0.4351902,0.3346332,0.00006321914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0672003,0.007545414,0.3042402,0.02193581,0.005688949,0.0002272206,0.000830877,0.005003545,0.5873277],"genre_scores_gemma":[0.8482109,0.007030758,0.06122988,0.001548504,0.0009259382,0.00008185028,0.0006588717,0.0005182005,0.07979523],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007938513,"threshold_uncertainty_score":0.02655697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008322181093252615,"score_gpt":0.201999650344287,"score_spread":0.1936774692510344,"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."}}