{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000459658,0.000541099,0.0006672684,0.0003526088,0.0003889175,0.0005925425,0.0007290279,0.0006045889,0.0009423802],"category_scores_gemma":[0.001266546,0.0001834567,0.0003107829,0.0002476793,0.0004572388,0.000595857,0.0006825594,0.0005384432,0.0001021022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008360003,"about_ca_system_score_gemma":0.000906368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00574052,"about_ca_topic_score_gemma":0.004385546,"domain_scores_codex":[0.999509,0.0001124764,0.00001514061,0.0001299444,0.0001727151,0.00006075772],"domain_scores_gemma":[0.9995025,0.0002256386,0.00008119312,0.00006070023,0.0001115892,0.00001838235],"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":[0.0001839687,0.00007860269,0.001400199,0.0001024125,0.00003737673,0.0001957015,0.00008352217,0.9129638,0.01165744,0.007877842,0.0005736775,0.06484547],"study_design_scores_gemma":[0.00001199458,0.00003298105,0.000223478,0.000003164748,0.000005621682,0.00002211023,0.000009818994,0.9950826,0.001949611,0.002397159,0.0002587517,0.000002643654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09678961,0.0005373412,0.8980234,0.0002832264,0.00006570604,0.00003881958,0.00005587909,0.0007374559,0.003468632],"genre_scores_gemma":[0.9880965,0.00007767048,0.01101311,0.00001514035,0.00001291831,0.00001613851,0.00002642698,0.000006209121,0.0007358516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00574052,"threshold_uncertainty_score":0.01141423,"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."}}