{"id":"W2084849953","doi":"10.1109/iembs.2011.6091313","title":"Usage monitoring of electrical devices in a smart home","year":2011,"lang":"en","type":"article","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Electrical load; Computer science; Signature (topology); Mahalanobis distance; Power consumption; Electrical equipment; Home automation; Electric power; Key (lock); Real-time computing; Waveform; Electrical engineering; Power (physics); Voltage; Artificial intelligence; Engineering; Telecommunications; Computer security","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":[0.00007814983,0.00006986805,0.0001012352,0.0001394346,0.000005187124,0.000003842154,0.0001089696,0.00002891063,0.00007460394],"category_scores_gemma":[0.000004545436,0.00006756471,0.00002113957,0.0002411792,0.000006637067,0.00007551134,0.00002668893,0.00005766656,0.00002619723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003513155,"about_ca_system_score_gemma":0.000002471681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001545219,"about_ca_topic_score_gemma":0.00005612636,"domain_scores_codex":[0.9995208,0.000007197229,0.0001476455,0.00007757082,0.00008309636,0.0001636417],"domain_scores_gemma":[0.9998167,0.00001590069,0.000009113439,0.0001242156,0.000006806589,0.00002731751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007705619,0.00005743107,0.9792751,0.00006690496,0.0000521143,0.00002043216,0.0003870222,0.01056332,0.001928895,0.002836992,0.0002499742,0.004554076],"study_design_scores_gemma":[0.0001909086,0.00002729248,0.9568505,0.00002044682,0.000006640827,7.750027e-7,0.00005220553,0.01197459,0.02953895,0.0001025687,0.001096771,0.0001382916],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9361864,0.0001283342,0.001651034,0.000002654926,0.0002816155,0.00004334568,1.284481e-7,0.000138009,0.0615685],"genre_scores_gemma":[0.9963421,0.00003122269,0.0034375,0.000004592313,0.0000389692,0.00001106187,2.418149e-7,0.00001316294,0.0001211062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06144739,"threshold_uncertainty_score":0.2755209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02121646334683461,"score_gpt":0.2027843280785779,"score_spread":0.1815678647317433,"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."}}