{"id":"W2759253181","doi":"10.1109/sege.2017.8052813","title":"Database system design for energy economization of smart home energy services","year":2017,"lang":"en","type":"article","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Database; Computer science; Cloud computing; Smart grid; Work (physics); Energy management; Process (computing); Home automation; Energy management system; Facility management; Management system; Efficient energy use; Systems engineering; Energy (signal processing); Engineering; Telecommunications; 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":[0.001949422,0.0003541867,0.0006125602,0.0008380517,0.0006931564,0.003724593,0.001996693,0.0006673689,0.005643862],"category_scores_gemma":[0.003085634,0.0004006827,0.0005452548,0.001037186,0.0002530608,0.002398836,0.0008453836,0.00079109,0.001870224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006745202,"about_ca_system_score_gemma":0.001217573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00221208,"about_ca_topic_score_gemma":0.001498059,"domain_scores_codex":[0.9984201,0.0003781764,0.0002477527,0.0002803697,0.0005486635,0.0001248264],"domain_scores_gemma":[0.9987191,0.000250762,0.00007617674,0.0002809945,0.000592441,0.00008050994],"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":[0.001783991,0.0006402655,0.008083828,0.002106585,0.0004655488,0.001271926,0.001366254,0.04201511,0.1422901,0.1290484,0.04131372,0.6296143],"study_design_scores_gemma":[0.0004216253,0.0007109532,0.004542117,0.0002702533,0.0004744549,0.002071904,0.0006175024,0.5018219,0.1697734,0.02057946,0.2985878,0.000128774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01982338,0.001634072,0.9638107,0.000405107,0.0002111223,0.0005509851,0.000609057,0.006241131,0.006714316],"genre_scores_gemma":[0.3463024,0.002072714,0.6341888,0.0004419376,0.0001713293,0.0008458906,0.0034368,0.0006392592,0.01190084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005643862,"threshold_uncertainty_score":0.01888067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01561421126280102,"score_gpt":0.1958227911272733,"score_spread":0.1802085798644723,"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."}}