{"id":"W4387389892","doi":"10.13009/ao4elt7-2023-051","title":"Closed-Loop Until Further Notice: Comparing Predictive Control Methods in Closed-Loop","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Herzberg Institute of Astrophysics","funders":"","keywords":"Control theory (sociology); Computer science; Millisecond; Adaptive optics; Controller (irrigation); Wavefront; Model predictive control; Loop (graph theory); Mean squared prediction error; Open-loop controller; Error detection and correction; Transient (computer programming); Lag; Closed loop; Algorithm; Control (management); Mathematics; Physics; Optics; Control engineering; Artificial intelligence; 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":[0.001975868,0.0006552725,0.0006941414,0.0002979519,0.0004772889,0.001312736,0.0009066422,0.001153028,0.001535414],"category_scores_gemma":[0.00674915,0.0002868981,0.0003320821,0.000238529,0.001079289,0.001179285,0.001099439,0.001419966,0.0001642816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006321902,"about_ca_system_score_gemma":0.0009376286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00840974,"about_ca_topic_score_gemma":0.002994745,"domain_scores_codex":[0.9993365,0.0002208443,0.00003896929,0.0001144303,0.0002120125,0.00007718238],"domain_scores_gemma":[0.9956322,0.00324684,0.0002469454,0.0003431661,0.0004551288,0.00007561608],"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":[0.0007691162,0.0002268358,0.00143554,0.0002296897,0.00006209134,0.00004942258,0.0001702938,0.9292774,0.00378845,0.00640252,0.0004540718,0.05713467],"study_design_scores_gemma":[0.00002509866,0.0001384644,0.0002313387,0.000007209357,0.000005199558,0.000005096136,0.00001532941,0.9970176,0.001556867,0.0007935279,0.0001962866,0.00000799019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3655477,0.001571107,0.6212669,0.0004766265,0.0002803538,0.000316231,0.0001131064,0.001889816,0.008538237],"genre_scores_gemma":[0.9705068,0.0001577707,0.02819957,0.00004657861,0.00002616716,0.00007969675,0.00005313618,0.00005326515,0.0008769424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00840974,"threshold_uncertainty_score":0.01672161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08989610732600098,"score_gpt":0.2526893547624498,"score_spread":0.1627932474364488,"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."}}