{"id":"W1994467149","doi":"10.1016/j.anucene.2014.05.024","title":"Fuzzy logic control for improved pressurizer systems in nuclear power plants","year":2014,"lang":"en","type":"article","venue":"Annals of Nuclear Energy","topic":"Nuclear Engineering Thermal-Hydraulics","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Pressurizer; Overshoot (microwave communication); Controller (irrigation); Control theory (sociology); Fuzzy logic; Computer science; Control system; Nuclear engineering; Coolant; Engineering; Control (management); Mechanical 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":[0.0007898514,0.0005598331,0.0006284632,0.0002796169,0.0006257279,0.001347051,0.0007424842,0.0006715693,0.002610051],"category_scores_gemma":[0.0008357208,0.0002272911,0.0003516563,0.0003585681,0.0004611793,0.0004995679,0.0003939571,0.0007581178,0.0003189061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007652565,"about_ca_system_score_gemma":0.0006390172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007033422,"about_ca_topic_score_gemma":0.007462815,"domain_scores_codex":[0.9996598,0.0000875635,0.0000257689,0.00006723453,0.0001138258,0.00004583222],"domain_scores_gemma":[0.9996907,0.00009609162,0.00004845052,0.00001588103,0.0001377513,0.00001117235],"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":[0.0006661564,0.0001893085,0.0003753908,0.0003786905,0.00006959511,0.0001818296,0.0002015777,0.8459873,0.03673294,0.01664539,0.001514827,0.09705696],"study_design_scores_gemma":[0.00004604021,0.0001838897,0.0002642636,0.00001170013,0.00002202235,0.00001680374,0.00001523004,0.9929421,0.003835423,0.001683261,0.0009687073,0.00001059983],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1338414,0.001354959,0.8432752,0.0004899447,0.0002926324,0.000114963,0.0000777607,0.0004339742,0.02011919],"genre_scores_gemma":[0.9843742,0.0002448293,0.01147528,0.00005099905,0.00004368242,0.00003536518,0.00002400315,0.000009960626,0.003741706],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007033422,"threshold_uncertainty_score":0.01398492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415043012465211,"score_gpt":0.2137068314462607,"score_spread":0.1995564013216086,"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."}}