{"id":"W3184344508","doi":"10.1109/med51440.2021.9480349","title":"Boiler Monitoring based on Data Analytics Tools","year":2021,"lang":"en","type":"article","venue":"","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Boiler (water heating); Computer science; Visualization; Automation; Data visualization; Analytics; SCADA; Data analysis; Data extraction; Real-time computing; Reliability engineering; Data mining; Process engineering; Engineering","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":[0.0008096019,0.001220179,0.0006411512,0.002871231,0.0002482793,0.002101735,0.0007098318,0.000428423,0.001903214],"category_scores_gemma":[0.002914885,0.0003518139,0.0004005788,0.001380935,0.0003316228,0.0016663,0.0007574344,0.0006454087,0.0007029903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003449712,"about_ca_system_score_gemma":0.0004379943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001187952,"about_ca_topic_score_gemma":0.0008001256,"domain_scores_codex":[0.9991252,0.0001594807,0.00008606098,0.0002177903,0.0003514291,0.00005996691],"domain_scores_gemma":[0.9981924,0.0007537963,0.0001959154,0.000287338,0.0004899032,0.00008070789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001733575,0.0005189999,0.01563045,0.001330429,0.0002853345,0.001057973,0.0008946112,0.1281245,0.1762227,0.02416997,0.01868079,0.6313507],"study_design_scores_gemma":[0.00005945136,0.0002687069,0.008151147,0.0001970226,0.00008957338,0.0004817873,0.0001754762,0.8245752,0.1246632,0.01522132,0.0260158,0.0001014038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05258789,0.0008504655,0.9068584,0.0003532222,0.0001237054,0.0002221833,0.002491005,0.03014038,0.006372761],"genre_scores_gemma":[0.7244527,0.0007574967,0.2675987,0.0001485451,0.0000844489,0.0002154207,0.002846484,0.0007541822,0.003141963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002871231,"threshold_uncertainty_score":0.006366849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05983583707842367,"score_gpt":0.2661930152020412,"score_spread":0.2063571781236175,"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."}}