{"id":"W2144015513","doi":"10.1145/2487166.2487193","title":"SPOT","year":2013,"lang":"en","type":"article","venue":"","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Setpoint; HVAC; Thermal comfort; Energy consumption; Air conditioning; Computer science; Thermostat; Simulation; Automotive engineering; Software deployment; Ventilation (architecture); Energy conservation; Energy (signal processing); Environmental science; Engineering; Mechanical engineering; Electrical engineering; Meteorology; 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":[0.0003169514,0.0006360021,0.0005092514,0.0003442714,0.0003889509,0.0009214517,0.0008869387,0.0004354211,0.05546261],"category_scores_gemma":[0.0005394059,0.0002599375,0.0004241909,0.000393951,0.0002421772,0.001047134,0.0009661894,0.0004532881,0.02558985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002788539,"about_ca_system_score_gemma":0.0004168421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007115836,"about_ca_topic_score_gemma":0.00130796,"domain_scores_codex":[0.9996337,0.00003576227,0.000013686,0.00009744676,0.0001719602,0.00004748093],"domain_scores_gemma":[0.9996718,0.00003167923,0.00002048435,0.0001303687,0.0001047308,0.00004090076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001498615,0.0002744794,0.006832656,0.000749856,0.0001303733,0.0003439337,0.0003506239,0.02529342,0.1289063,0.02271863,0.2156031,0.5972981],"study_design_scores_gemma":[0.000178517,0.000905111,0.00705948,0.00005333144,0.0001070206,0.001106792,0.0001823771,0.1786173,0.1526591,0.009367435,0.6496615,0.0001019872],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1299024,0.001524225,0.3907826,0.0008134504,0.0009195475,0.0005193983,0.009204434,0.1176221,0.3487118],"genre_scores_gemma":[0.6422619,0.0007546471,0.1094408,0.000657447,0.0002160542,0.0003833575,0.01484987,0.005346475,0.2260895],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05546261,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003210133491056983,"score_gpt":0.1442583478703081,"score_spread":0.1410482143792511,"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."}}