{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006979965,0.0006034214,0.0005809806,0.0002392243,0.0004689528,0.001126428,0.0006955632,0.00103681,0.002743888],"category_scores_gemma":[0.001497273,0.0002121263,0.0003416947,0.0002754041,0.0004555419,0.0004312679,0.0006484119,0.001016632,0.000759756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005309289,"about_ca_system_score_gemma":0.0006891569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002678536,"about_ca_topic_score_gemma":0.00191185,"domain_scores_codex":[0.9994783,0.0001331143,0.00003616716,0.0001421344,0.0001705851,0.00003965059],"domain_scores_gemma":[0.9995403,0.0001448818,0.00006801297,0.00003173739,0.000198672,0.00001643834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001743475,0.0001031562,0.0005822668,0.0005369565,0.00008783732,0.0003779934,0.0004051294,0.6720082,0.03847734,0.06503768,0.003303375,0.2189056],"study_design_scores_gemma":[0.00004807893,0.0002155229,0.0002126846,0.00004070316,0.00002141305,0.00007120142,0.00002848927,0.9817021,0.004110838,0.006322237,0.007211248,0.00001555217],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00350145,0.0004073786,0.991459,0.0002266947,0.0001015188,0.00007324795,0.0000195769,0.0001886568,0.004022315],"genre_scores_gemma":[0.8055273,0.001135819,0.1811536,0.0004441261,0.00025067,0.0007482352,0.0001277186,0.00006490004,0.01054767],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002743888,"threshold_uncertainty_score":0.009179235,"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."}}