{"id":"W4389223831","doi":"10.1088/1742-6596/2600/5/052003","title":"Exploring thermostat override behavior during direct load control events","year":2023,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; Carleton University; Concordia University","funders":"","keywords":"Thermostat; Control (management); Computer science; Cluster analysis; Engineering; Artificial intelligence","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":[0.0005706518,0.0002039304,0.0002383105,0.000575667,0.0002631904,0.0004951212,0.0002454961,0.0003111686,0.001071671],"category_scores_gemma":[0.003624576,0.0001307225,0.0001663849,0.0004224432,0.0002211478,0.0004312657,0.0003732777,0.0003003932,0.0003029659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002898584,"about_ca_system_score_gemma":0.0001647511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002700881,"about_ca_topic_score_gemma":0.006256986,"domain_scores_codex":[0.9995097,0.0001714006,0.00003198453,0.0001128577,0.0001252613,0.00004892375],"domain_scores_gemma":[0.9974955,0.0013012,0.0004937336,0.0001734697,0.0003702732,0.0001657748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008006532,0.0004606117,0.9210671,0.0001952098,0.00008972402,0.0003557963,0.006658818,0.002962179,0.01995764,0.0001889281,0.0008390485,0.04642434],"study_design_scores_gemma":[0.00001070974,0.0003884647,0.9769641,0.0000265593,0.00002763337,0.0001616643,0.004022947,0.01352504,0.003530842,0.0001591083,0.001147731,0.00003530751],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985338,0.00001579771,0.0008161157,0.00001297867,0.000002060658,0.00001968774,0.0001640347,0.00002746968,0.0004080752],"genre_scores_gemma":[0.9987916,0.00001290827,0.0008356516,0.000008995023,0.000001529022,0.00001647243,0.0001532797,0.000004604525,0.0001748958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002700881,"threshold_uncertainty_score":0.005370259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05212069771814409,"score_gpt":0.225605264048452,"score_spread":0.173484566330308,"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."}}