{"id":"W2066909782","doi":"10.1016/j.mechatronics.2007.12.003","title":"Controller design and optimization for large-delays image processing in visual closed-loop systems","year":2008,"lang":"en","type":"article","venue":"Mechatronics","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; University of Waterloo","funders":"","keywords":"Feed forward; PID controller; Controller (irrigation); Control theory (sociology); Computer science; Tracking error; Control engineering; Control system; Open-loop controller; Image processing; Artificial intelligence; Engineering; Control (management); Image (mathematics); Closed loop; Temperature control","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002384384,0.0001234325,0.000166142,0.00007678428,0.0001459729,0.00006499399,0.00007258256,0.00008871664,0.000002015799],"category_scores_gemma":[0.00001537365,0.0001275494,0.00002208597,0.0001345621,0.00001581038,0.0001976762,0.00001530461,0.0001017042,0.000001524176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006790842,"about_ca_system_score_gemma":0.00003585243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002866859,"about_ca_topic_score_gemma":5.306209e-7,"domain_scores_codex":[0.999291,0.00001377756,0.000209109,0.0001576568,0.00007348361,0.0002549741],"domain_scores_gemma":[0.9997587,0.00002457694,0.00003960423,0.00007638051,0.00006712703,0.0000336492],"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":[0.00004255185,0.0001048913,0.00002762878,0.0005117822,0.00001496787,0.000003547927,0.0003951971,0.9740222,0.01148089,0.00365822,0.001086069,0.008652054],"study_design_scores_gemma":[0.000692587,0.00002898966,0.000002756841,0.00003623037,0.00001034746,0.000009739123,0.00004512963,0.9960606,0.001898159,0.000267389,0.000804553,0.0001435239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003036445,0.002420933,0.9933482,0.00003428136,0.00002944861,0.0006984536,0.000008423385,0.000366082,0.0000577097],"genre_scores_gemma":[0.6605942,0.0002831248,0.338509,0.00001872683,0.00003900425,0.0004447191,0.00001874078,0.00004779148,0.00004469902],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6575578,"threshold_uncertainty_score":0.5201312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441667458396822,"score_gpt":0.2527820225839775,"score_spread":0.2383653480000092,"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."}}