{"id":"W2087553274","doi":"10.1002/acs.771","title":"Performance assessment of level controllers","year":2003,"lang":"en","type":"article","venue":"International Journal of Adaptive Control and Signal Processing","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Smoothing; Controller (irrigation); Variance (accounting); Control theory (sociology); Variable (mathematics); Flow control (data); Computer science; Control engineering; Engineering; Control (management); Mathematics; 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":[0.004867623,0.0005762368,0.0005891586,0.001098573,0.0003502325,0.001472926,0.0006946354,0.0007145678,0.001984289],"category_scores_gemma":[0.01473189,0.0001733768,0.0004860235,0.0005107034,0.000507459,0.0009937765,0.0007184559,0.0007066375,0.0004945862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007899811,"about_ca_system_score_gemma":0.0006018787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001330991,"about_ca_topic_score_gemma":0.0006147754,"domain_scores_codex":[0.9966799,0.0006902146,0.000214747,0.0004468415,0.001747144,0.0002211986],"domain_scores_gemma":[0.9921857,0.003347718,0.001304542,0.0009845482,0.002001091,0.0001765055],"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":[0.001763248,0.0002743183,0.0151566,0.0005019949,0.0001903023,0.0001098192,0.0002677606,0.6200384,0.09784267,0.007031176,0.001428879,0.2553948],"study_design_scores_gemma":[0.0000498109,0.002558974,0.01293088,0.00003106592,0.0000553707,0.00007770493,0.00006903157,0.8809324,0.09852704,0.003024994,0.001680622,0.00006211109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4245801,0.0005367515,0.5614843,0.0001268105,0.00006844731,0.0002919523,0.0003740043,0.002415561,0.01012219],"genre_scores_gemma":[0.9815959,0.00004721121,0.01727156,0.00002285021,0.00001238411,0.00004707108,0.0002433139,0.00004272493,0.0007169591],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004867623,"threshold_uncertainty_score":0.02574277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01723931279611525,"score_gpt":0.2509671906049387,"score_spread":0.2337278778088234,"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."}}