{"id":"W2902753230","doi":"10.1002/aic.16486","title":"Distributed fault diagnosis of heating, ventilation, and air conditioning systems","year":2018,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Johnson Controls (Canada); McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"HVAC; Air conditioning; Fault (geology); Fault detection and isolation; Ventilation (architecture); Work (physics); Engineering; Isolation (microbiology); Computer science; Distributed computing; Control engineering; Mechanical engineering; Electrical engineering","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":[0.000209324,0.00007332319,0.0001433793,0.00006266532,0.000127471,0.00004838151,0.00004596594,0.00005250224,0.00004869442],"category_scores_gemma":[0.00004991645,0.0000682812,0.00003551214,0.0001071854,0.0000324643,0.0001208496,0.000006401457,0.0001198089,0.00001028536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003731699,"about_ca_system_score_gemma":0.000008192078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003104898,"about_ca_topic_score_gemma":0.000009161142,"domain_scores_codex":[0.9993659,0.00003427756,0.0002950963,0.00005689203,0.0001308898,0.0001169258],"domain_scores_gemma":[0.9996061,0.00004184674,0.00009299194,0.00006644044,0.0001228918,0.00006974595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00022255,0.0002377588,0.4559396,0.001348488,0.002372568,0.00007280288,0.007061787,0.25781,0.0966361,0.002094689,0.1401719,0.03603181],"study_design_scores_gemma":[0.003908757,0.0006407534,0.1554579,0.001329493,0.0002016181,0.001478626,0.003257805,0.6910164,0.04011673,0.0003246929,0.1015304,0.0007368403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785991,0.001147013,0.01828069,0.00004713779,0.001097075,0.00008990541,0.00002387366,0.00008402148,0.0006311594],"genre_scores_gemma":[0.9994248,0.0000461904,0.00004404537,0.00001317463,0.0004037218,0.00001041495,0.000004603179,0.00001121698,0.00004181417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4332064,"threshold_uncertainty_score":0.2784426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007188301747713403,"score_gpt":0.2243414974667184,"score_spread":0.217153195719005,"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."}}