{"id":"W1483213380","doi":"10.1109/acc.2008.4587250","title":"Control system design for retinal imaging adaptive optics systems","year":2008,"lang":"en","type":"article","venue":"","topic":"Retinal and Macular Surgery","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Parameterized complexity; Control theory (sociology); Decoupling (probability); Adaptive optics; Controller (irrigation); Computer science; Deformable mirror; Adaptive control; Control system; Control engineering; Control (management); Artificial intelligence; Actuator; Engineering; Optics; Algorithm; Physics","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":[0.0004407492,0.0001354825,0.0003827392,0.00006584454,0.0001147022,0.00001247135,0.00004672947,0.00004474392,0.000007276641],"category_scores_gemma":[0.0000865992,0.00009820441,0.0001458154,0.00006996252,0.00005422208,0.00004617116,0.000009161849,0.00007973884,0.00003323538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007368086,"about_ca_system_score_gemma":0.0001105563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004966848,"about_ca_topic_score_gemma":1.12216e-7,"domain_scores_codex":[0.9989577,0.00006454005,0.0002810344,0.0002068364,0.0002180346,0.0002718376],"domain_scores_gemma":[0.9990743,0.0002633831,0.00008040255,0.0001730786,0.0002665487,0.0001422255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0412684,0.001564042,0.1102238,0.01077253,0.003686161,0.02224712,0.001835549,0.007823129,0.07954007,0.4252388,0.288656,0.007144437],"study_design_scores_gemma":[0.009251247,0.001237028,0.003153042,0.00142865,0.0007853969,0.01500756,0.002834601,0.9498178,0.004398841,0.00004524122,0.01135308,0.0006874845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01443521,0.0006637141,0.972175,0.0003194838,0.0004012211,0.001393014,0.000007866696,0.0001994049,0.01040509],"genre_scores_gemma":[0.9838136,0.00001227935,0.01273161,0.0001870084,0.0003362661,0.0001196306,0.000005602038,0.00002521416,0.002768761],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9693784,"threshold_uncertainty_score":0.400466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04120051258851559,"score_gpt":0.2495445459204805,"score_spread":0.2083440333319649,"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."}}