{"id":"W1539721726","doi":"10.1002/9781118501054.ch9","title":"Dynamic Modelling and Control of Tubular SOFC: System Identification Approach","year":2012,"lang":"en","type":"other","venue":"","topic":"Advancements in Solid Oxide Fuel Cells","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Shell (Canada); University of Alberta","funders":"","keywords":"Identification (biology); PID controller; System identification; Computer science; Control system; Control (management); Closed loop; Control engineering; Control theory (sociology); Engineering; Data mining; Biology; Temperature control; Artificial intelligence","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":[0.0002006386,0.000451696,0.0007134757,0.0002568235,0.000416888,0.0007338001,0.0006234135,0.0006480854,0.002170705],"category_scores_gemma":[0.0003111953,0.0003095173,0.0006023034,0.000365595,0.0003393736,0.0005965158,0.0004439462,0.0005758788,0.0007586961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000435529,"about_ca_system_score_gemma":0.0006544923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00523785,"about_ca_topic_score_gemma":0.00318912,"domain_scores_codex":[0.9998897,0.00002305968,0.000006182962,0.00002353773,0.00004657841,0.00001079871],"domain_scores_gemma":[0.9999398,0.00002010216,0.00001008705,0.000004931361,0.00002280521,0.000002230591],"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":[0.00002174071,0.00001093975,0.0001349624,0.0001044797,0.00001470247,0.00003651549,0.00004833173,0.9649497,0.005024845,0.006257532,0.0004511438,0.02294508],"study_design_scores_gemma":[0.000002698881,0.00001955725,0.0001536104,0.00001322548,0.000005889942,0.00001509208,0.00001243704,0.9942134,0.001201466,0.002273517,0.002082458,0.000006672295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01432377,0.0009768616,0.9723544,0.0001533069,0.00006320396,0.00005549773,0.0001361295,0.0004954858,0.01144147],"genre_scores_gemma":[0.8904487,0.003246068,0.08460992,0.00007844112,0.00006777412,0.0004447575,0.0004066025,0.00012563,0.02057215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00523785,"threshold_uncertainty_score":0.01041472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01197841570440661,"score_gpt":0.2359998879563906,"score_spread":0.224021472251984,"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."}}