{"id":"W1964260938","doi":"10.1049/iet-gtd.2014.0738","title":"Closed‐loop control system for an improved hybrid flow controller and its comparison with some hybrid devices","year":2015,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Control theory (sociology); Loop (graph theory); Controller (irrigation); Computer science; Control engineering; Flow (mathematics); Hybrid system; Control system; Control (management); Mathematics; Engineering; Electrical engineering; Biology; 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":[0.0003900059,0.0004281735,0.000349386,0.0003111087,0.0003221431,0.0006936081,0.0006960906,0.0005388134,0.002498425],"category_scores_gemma":[0.0003651703,0.0001110172,0.0001980101,0.000216586,0.0003294399,0.0004327738,0.0002356579,0.0004484663,0.0002686777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002625052,"about_ca_system_score_gemma":0.0002719253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001524782,"about_ca_topic_score_gemma":0.001049208,"domain_scores_codex":[0.9997959,0.00002590117,0.00001477461,0.00006437289,0.00008118334,0.00001794697],"domain_scores_gemma":[0.9998013,0.0000548696,0.00002174457,0.00002996301,0.00008242458,0.000009670827],"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":[0.001468581,0.0004309225,0.001696889,0.0007623358,0.0001829178,0.0004468659,0.000529279,0.198007,0.2522735,0.01979792,0.00615846,0.5182453],"study_design_scores_gemma":[0.0003557809,0.001179094,0.002221882,0.00003393052,0.000091366,0.0003157896,0.00003441026,0.9386064,0.04035017,0.001538731,0.01521611,0.00005636572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1034383,0.0005330929,0.8816321,0.0001453276,0.0002767705,0.000242091,0.0001343858,0.002330793,0.011267],"genre_scores_gemma":[0.9432168,0.0001515983,0.05195043,0.00008114241,0.0000808364,0.0002391618,0.00009010525,0.00002920099,0.004160671],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002498425,"threshold_uncertainty_score":0.008358061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02317891378402637,"score_gpt":0.2381030854507911,"score_spread":0.2149241716667647,"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."}}