{"id":"W4386066677","doi":"10.1109/smartnets58706.2023.10215762","title":"Appliances Operation Modes Identification Using States Clustering","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Cluster analysis; Identification (biology); Energy conservation; Energy consumption; Computer science; Internet of Things; Energy management; Energy (signal processing); Power consumption; Power (physics); Computer security; Engineering; Artificial intelligence; Electrical engineering","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":[0.0002444525,0.000544821,0.0003573077,0.001793856,0.0003865785,0.0006703802,0.000372799,0.0003082987,0.001177176],"category_scores_gemma":[0.0009967107,0.0001919747,0.000548697,0.001263981,0.0002825147,0.0006514942,0.0004611208,0.0003340846,0.0005765285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00043527,"about_ca_system_score_gemma":0.000576543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008059418,"about_ca_topic_score_gemma":0.008558379,"domain_scores_codex":[0.9996467,0.00004956865,0.00002664055,0.0001195537,0.0001095327,0.00004799916],"domain_scores_gemma":[0.9996774,0.00006829909,0.00006596269,0.00005695277,0.0001141768,0.00001711907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005661724,0.0002989064,0.05009018,0.0001754212,0.0001898808,0.0003387751,0.0007977008,0.2340465,0.02988735,0.009956052,0.007371116,0.6662819],"study_design_scores_gemma":[0.000008219964,0.00006468833,0.0188136,0.00002453792,0.00003482586,0.0001474131,0.0002891895,0.9602973,0.0100457,0.006402127,0.003836782,0.00003555333],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2274613,0.0002453375,0.7598631,0.0001708002,0.00005292237,0.0001933443,0.001087348,0.002242843,0.008682952],"genre_scores_gemma":[0.9276098,0.0001216393,0.06853166,0.00002471087,0.0000151289,0.00007732138,0.001363306,0.00005690825,0.002199514],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008059418,"threshold_uncertainty_score":0.01602501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02850793559779548,"score_gpt":0.2476088014203758,"score_spread":0.2191008658225803,"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."}}