{"id":"W2548124079","doi":"10.1145/2993422.2993578","title":"The SPOT* Personal Thermal Comfort System","year":2016,"lang":"en","type":"article","venue":"","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Akershus Universitetssykehus","keywords":"Software deployment; HVAC; Scalability; Thermal comfort; Computer science; Cloud computing; Simulation; Automotive engineering; Real-time computing; Air conditioning; Engineering; Mechanical engineering; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000059971,0.00005014621,0.00003617162,0.000009896151,0.00008407736,0.00001624579,0.00007517555,0.00002833462,0.00005045361],"category_scores_gemma":[0.000001597726,0.00002271629,0.00002428656,0.00003277675,0.00001503618,0.00005193432,0.000008766083,0.00002417865,0.00001393097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002996166,"about_ca_system_score_gemma":0.00000392493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002957736,"about_ca_topic_score_gemma":0.0000047046,"domain_scores_codex":[0.9997154,0.000005159964,0.0000627061,0.00004463254,0.00006325763,0.0001088348],"domain_scores_gemma":[0.9998436,0.00003753029,0.000006229879,0.0000844852,0.000007911955,0.0000202522],"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":[0.00003647207,0.00001580663,0.002244395,0.00005885773,0.0001857731,0.000008277174,0.0002041211,0.4039415,0.01461071,0.3953306,0.01371727,0.1696462],"study_design_scores_gemma":[0.0005953287,0.00002707819,0.001445492,0.0001000938,0.00001704611,0.00003328643,0.0002292878,0.9153267,0.01569829,0.00009185237,0.06606258,0.0003730398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6122605,0.0003720842,0.2051828,0.0004747278,0.001373333,0.000121529,0.000003997626,0.001879352,0.1783317],"genre_scores_gemma":[0.9967642,0.00001957765,0.0002228199,0.00001364347,0.0000698044,0.000008495722,5.646038e-7,0.00001120251,0.002889624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5113851,"threshold_uncertainty_score":0.09263436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00418837428845086,"score_gpt":0.1550437238719383,"score_spread":0.1508553495834875,"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."}}