{"id":"W4238042503","doi":"10.32920/ryerson.14653386","title":"Fault Tolerant Control Design for Feedwater System","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Industrial Automation and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Boiler feedwater; Control valves; Control system; Controller (irrigation); Engineering; Fault tolerance; Fault (geology); Fault detection and isolation; Control theory (sociology); Control engineering; Computer science; Actuator; Reliability engineering; Control (management); Mechanical engineering; Electrical 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003939257,0.0003138193,0.0006724658,0.00007700915,0.00005200783,0.0002927151,0.0002026342,0.0005341373,0.0000762898],"category_scores_gemma":[0.00001937011,0.0002675789,0.0002629266,0.00004314941,0.000006716008,0.00004901085,0.00003509781,0.0002782404,0.00005718512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002172252,"about_ca_system_score_gemma":0.0000738962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007061312,"about_ca_topic_score_gemma":0.00001008161,"domain_scores_codex":[0.9985428,0.0001023146,0.0005784887,0.000283983,0.0001820657,0.0003102753],"domain_scores_gemma":[0.9992064,0.0001140312,0.00007415973,0.0003559795,0.0001672359,0.00008218092],"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":[0.00004119309,0.00001288973,0.000004170505,0.001343791,0.0005270433,0.00001265823,0.000233989,0.9826675,0.002010726,0.0009966142,0.008936362,0.003213084],"study_design_scores_gemma":[0.001771298,0.00001557214,0.000009301305,0.0003435516,0.00008717742,0.000009197911,0.0003203814,0.9902588,0.002066355,0.00001287727,0.004755395,0.0003500828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002395551,0.0003914532,0.9832577,0.0001364035,0.004839746,0.002409616,0.00005800627,0.001457222,0.005054366],"genre_scores_gemma":[0.9948542,0.000002294789,0.001724865,0.00006897243,0.0007695479,0.001191605,0.00006599108,0.00006561956,0.001256892],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9924586,"threshold_uncertainty_score":0.9999776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02578981807262711,"score_gpt":0.2117024706326918,"score_spread":0.1859126525600647,"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."}}