{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000143658,0.000134278,0.0001915757,0.0000899684,0.00009772487,0.00006822294,0.000362812,0.00004764316,0.00002271498],"category_scores_gemma":[0.000004154022,0.0001349892,0.00004592678,0.00002686252,0.00001459377,0.0003377623,0.00008367209,0.00001383545,0.000005428682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006012119,"about_ca_system_score_gemma":0.000007509884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006754022,"about_ca_topic_score_gemma":0.0005480846,"domain_scores_codex":[0.9993401,0.00001292079,0.0002357558,0.0001672263,0.00006924755,0.0001747423],"domain_scores_gemma":[0.9990921,0.0000427363,0.00008865242,0.0006893201,0.00003793867,0.00004926795],"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":[0.00002691944,0.00001387551,0.0001727745,0.0005980987,0.0001530338,0.000001692861,0.000016251,0.8233414,0.0007758234,0.1696568,0.003471067,0.001772206],"study_design_scores_gemma":[0.0004787497,0.00002797194,0.000230269,0.00005570662,0.0000335234,9.127958e-7,0.00004481461,0.9344447,0.0336355,0.000101122,0.03076392,0.0001828375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00313842,0.00009317317,0.9823934,0.00002297356,0.0009945204,0.00009029551,0.00002341417,0.0002579523,0.01298586],"genre_scores_gemma":[0.9909441,0.0000752311,0.007766852,0.00003053316,0.0001769602,0.0001127269,0.00006759685,0.0000433743,0.0007825675],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9878057,"threshold_uncertainty_score":0.5504698,"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."}}