{"id":"W2901127640","doi":"10.1002/asjc.1974","title":"Optimal Controller Design with Communication Delay for Solid Oxide Fuel Cell","year":2018,"lang":"en","type":"article","venue":"Asian Journal of Control","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Controller (irrigation); Nonlinear system; Control theory (sociology); Computer science; Solid oxide fuel cell; Control engineering; State (computer science); Control (management); SIGNAL (programming language); Distributed computing; Engineering; Algorithm","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":[],"consensus_categories":[],"category_scores_codex":[0.0005308677,0.0001941433,0.0004701982,0.0001304804,0.00009076171,0.00005739454,0.0002946772,0.00008784056,0.00001098439],"category_scores_gemma":[0.00006845324,0.0001587406,0.0001124844,0.00009903458,0.00006439113,0.0004232958,0.000005807246,0.0001801013,0.000009634201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008895939,"about_ca_system_score_gemma":0.0000557174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.841217e-7,"about_ca_topic_score_gemma":0.000003787988,"domain_scores_codex":[0.9987122,0.0001096535,0.0006006656,0.00009827041,0.0001912569,0.0002879114],"domain_scores_gemma":[0.9983515,0.0002087415,0.0003997583,0.0002394248,0.0006717751,0.000128867],"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":[0.001456478,0.00003117454,0.00004505365,0.00003416068,0.0003038275,0.000006934766,0.0003995176,0.9876093,0.007179814,0.0001338016,0.0007560417,0.002043902],"study_design_scores_gemma":[0.02575679,0.00171891,0.0001583291,0.0001758775,0.0003558029,0.0002325496,0.0003772011,0.9621884,0.002900997,0.0005687018,0.005142887,0.0004235807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001236394,0.001391479,0.9946517,0.0002858977,0.000133274,0.0006756696,0.000006374555,0.00005655154,0.00156263],"genre_scores_gemma":[0.8700925,0.00002978924,0.1293734,0.00007930593,0.0002678613,0.00004185744,0.000001370567,0.00005585669,0.00005812095],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8688561,"threshold_uncertainty_score":0.6473253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006543135562216177,"score_gpt":0.2150225308513117,"score_spread":0.2084793952890956,"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."}}