{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001736009,0.0004765361,0.000513681,0.0002497092,0.0003487548,0.0004787538,0.0008143492,0.0002837638,0.03278271],"category_scores_gemma":[0.0004211003,0.0002225379,0.0002255099,0.0003453339,0.0001528816,0.0005507901,0.0008991782,0.0003447288,0.007630629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002627987,"about_ca_system_score_gemma":0.0003236178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001367804,"about_ca_topic_score_gemma":0.001008539,"domain_scores_codex":[0.9997675,0.00002485025,0.000009197573,0.00006016946,0.0001056264,0.00003269545],"domain_scores_gemma":[0.9997591,0.00002265562,0.00001814072,0.00007240644,0.00008541399,0.00004226811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003081824,0.0005462861,0.01721312,0.0007435104,0.0001480782,0.000559488,0.001030223,0.0199673,0.1478624,0.005258187,0.2425219,0.5610678],"study_design_scores_gemma":[0.0006010538,0.001849856,0.0522812,0.00009659081,0.0002122421,0.00210604,0.0006002865,0.341861,0.1859439,0.003681172,0.4104938,0.0002729195],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3924142,0.0006539572,0.2965977,0.000436013,0.000257259,0.000983094,0.006964173,0.1672431,0.1344506],"genre_scores_gemma":[0.9111615,0.0001562775,0.0415569,0.0002718412,0.00008219585,0.000403909,0.004635764,0.001573372,0.04015817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03278271,"threshold_uncertainty_score":0.1096691,"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."}}