{"id":"W2279823755","doi":"10.1080/02286203.2009.11442545","title":"Experimental Fuzzy Modelling and Control of a Steam Power Plant Boiler","year":2009,"lang":"en","type":"article","venue":"International Journal of Modelling and Simulation","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Boiler (water heating); Steam power; Power station; Environmental science; Steam-electric power station; Engineering; Nuclear engineering; Waste management; Mechanical engineering; Combined cycle; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001330712,0.00009021341,0.0001725022,0.0001372995,0.00002051199,0.00002667333,0.00005784985,0.00004942794,0.000002230942],"category_scores_gemma":[0.000007297158,0.00008586272,0.00003823179,0.00002483025,0.00001079401,0.0003191008,0.000003984635,0.00008579705,1.846908e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004215592,"about_ca_system_score_gemma":0.000007050347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002178623,"about_ca_topic_score_gemma":8.111758e-8,"domain_scores_codex":[0.9991928,0.00001210391,0.0004130491,0.00006981516,0.0002396757,0.00007259571],"domain_scores_gemma":[0.9994826,0.00006817783,0.0001694386,0.00003985858,0.0001971033,0.00004280461],"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":[0.000146441,0.00001976729,0.00004179329,0.000003505901,0.00005294884,0.000003196441,0.0003937441,0.9943814,0.003848743,0.0003666826,0.000001332995,0.0007404807],"study_design_scores_gemma":[0.001291709,0.0000834969,0.00002061763,0.00008906538,0.00001363665,0.0000232912,0.00005590799,0.9962254,0.001083338,0.0009908682,0.00004794667,0.00007478696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3571195,0.001215169,0.6413683,0.00001959735,0.0001383754,0.00004371258,0.000005443338,0.00001053713,0.00007937558],"genre_scores_gemma":[0.9958482,0.0001169551,0.003889002,0.00001989471,0.000107622,5.619203e-7,0.00000328054,0.000009839163,0.000004667031],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6387287,"threshold_uncertainty_score":0.350138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01235502758671198,"score_gpt":0.2425784770034439,"score_spread":0.2302234494167319,"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."}}