{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002096724,0.0002991631,0.0002282736,0.000331516,0.00008786491,0.0001314134,0.000137492,0.00008100837,0.00009366639],"category_scores_gemma":[0.000002490557,0.0003185864,0.000129846,0.0004969533,0.00002605354,0.0001641791,0.0002009196,0.00009773533,0.00001183921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002219339,"about_ca_system_score_gemma":0.00001374161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006367544,"about_ca_topic_score_gemma":0.00009202814,"domain_scores_codex":[0.9981769,0.00002262652,0.0005046473,0.0004827583,0.0003465629,0.0004664791],"domain_scores_gemma":[0.9992489,0.00002335932,0.00004255984,0.0005514576,0.00001963941,0.0001141485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001790488,0.00001652399,0.0001960085,0.0001796189,0.0004863802,0.008281868,0.00005354464,0.9004226,0.0003311964,0.02525296,0.01196435,0.05281311],"study_design_scores_gemma":[0.00004643562,0.000008617989,0.0001927985,0.000120755,0.00005871562,0.0003256989,0.00001369102,0.46189,0.001249363,0.0007718034,0.5350134,0.0003087363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04585003,0.005602764,0.6622031,0.0001161887,0.0149447,0.0001182802,0.000002245788,0.005073524,0.2660891],"genre_scores_gemma":[0.9893535,0.000140894,0.002852735,0.0001331125,0.0007572404,0.00001884492,0.00003146036,0.0001357046,0.00657653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9435034,"threshold_uncertainty_score":0.9999266,"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."}}