{"id":"W2544570405","doi":"10.1109/iecon.2008.4758372","title":"Implementation of an adaptive intelligent controller for benchmark thermal system","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Benchmark (surveying); Controller (irrigation); Computer science; Artificial neural network; Adaptive control; Control theory (sociology); Transient (computer programming); Temperature control; Control engineering; Digital signal processing; Engineering; Artificial intelligence; Control (management)","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":[0.0003826943,0.0003504864,0.0003478071,0.000266668,0.0002962753,0.0004866813,0.0009026938,0.0004161984,0.002124544],"category_scores_gemma":[0.0008214947,0.0001348862,0.0001812889,0.0001588346,0.0002296166,0.000330821,0.0002685327,0.0005139016,0.0003733807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003944261,"about_ca_system_score_gemma":0.0005395359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002331582,"about_ca_topic_score_gemma":0.002420506,"domain_scores_codex":[0.9996823,0.00003805741,0.00001952338,0.00007521216,0.0001565551,0.00002831436],"domain_scores_gemma":[0.9997243,0.00005488861,0.0000285656,0.00003458122,0.0001419294,0.00001565403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005075273,0.0002317763,0.00217806,0.0003880616,0.0001014762,0.0002731111,0.0002049763,0.3296785,0.2078373,0.006761399,0.003786859,0.4480509],"study_design_scores_gemma":[0.00003552586,0.0001994605,0.00104705,0.00001310504,0.00002277776,0.00008199146,0.00001279456,0.9421362,0.0506086,0.0004698584,0.005351007,0.00002159405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04476154,0.0002007491,0.9444324,0.00009743745,0.0002014837,0.0001341725,0.00004581323,0.00271088,0.007415567],"genre_scores_gemma":[0.8666451,0.0001044686,0.128275,0.00009463762,0.0000406949,0.0002041492,0.00009493809,0.0000508389,0.004490111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002331582,"threshold_uncertainty_score":0.007107317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01344343723645461,"score_gpt":0.2420907403798398,"score_spread":0.2286473031433852,"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."}}