{"id":"W4408010991","doi":"10.18280/isi.300205","title":"Implementation of an Intelligent Power Management System for Building Using Machine Learning Model","year":2025,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Energy and Environmental Systems","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Learning Management; Engineering management; Power (physics); Knowledge management; Systems engineering; Artificial intelligence; Engineering; Multimedia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002723153,0.0004974365,0.0006532883,0.0003312322,0.0004669847,0.0008034536,0.001088298,0.0006321543,0.007487413],"category_scores_gemma":[0.0005035913,0.0002763549,0.0004193374,0.0002698687,0.0001797736,0.0005145766,0.0004004442,0.0005348646,0.001250922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004565737,"about_ca_system_score_gemma":0.0007329712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00505953,"about_ca_topic_score_gemma":0.004369313,"domain_scores_codex":[0.9998181,0.00003365767,0.00001258252,0.00004948854,0.00006239802,0.00002363664],"domain_scores_gemma":[0.999808,0.00003884653,0.00001659191,0.00004199782,0.00007696794,0.00001762102],"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":[0.0004479235,0.0004326734,0.003777968,0.0003185548,0.0001303997,0.0003206769,0.000207758,0.6234031,0.03605798,0.006217338,0.009577625,0.3191079],"study_design_scores_gemma":[0.00004996322,0.00005936726,0.000507584,0.000007249808,0.00002543712,0.00002956177,0.00001593511,0.987031,0.008371024,0.0006570402,0.003235947,0.000009815409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04884906,0.00008659696,0.9239315,0.0001961846,0.0001192911,0.0002238379,0.0002016886,0.01697268,0.009419185],"genre_scores_gemma":[0.7922018,0.00007380808,0.1992646,0.00007864198,0.0000229719,0.0002655395,0.0004525719,0.0001685714,0.007471497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007487413,"threshold_uncertainty_score":0.0250479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01925085895452856,"score_gpt":0.3030490924946803,"score_spread":0.2837982335401517,"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."}}