{"id":"W2077302401","doi":"10.1109/isot.2009.5326052","title":"Mixed sensitivity H&amp;#x221E; control of magnetic fluid deformable mirrors","year":2009,"lang":"en","type":"article","venue":"","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Adaptive optics; Wavefront; Controller (irrigation); Sensitivity (control systems); Computer science; Deformable mirror; Control theory (sociology); Channel (broadcasting); Wavefront sensor; Computer vision; Artificial intelligence; Physics; Optics; Control (management); Electronic engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001613082,0.0001562494,0.0002752358,0.00004474428,0.00007759061,0.0000189808,0.0000486331,0.00003301498,0.0002584392],"category_scores_gemma":[0.000005064474,0.0001349938,0.0001243888,0.00008694691,0.00004866153,0.00009993547,0.00001650316,0.00008723649,0.00006128508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001244887,"about_ca_system_score_gemma":0.00002765534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000355494,"about_ca_topic_score_gemma":0.0000235653,"domain_scores_codex":[0.9991196,0.00004438314,0.0002396744,0.0001735258,0.0001360795,0.0002866912],"domain_scores_gemma":[0.999444,0.00005560979,0.00008741802,0.0002191821,0.0001087588,0.00008499805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002643307,0.000915171,0.02506833,0.00002127654,0.0002244681,0.00001091649,0.0004967688,0.002566918,0.5593035,0.309762,0.002199278,0.09916711],"study_design_scores_gemma":[0.0158467,0.002377025,0.2778825,0.0002602214,0.0007727389,0.00003922568,0.002859815,0.3514371,0.2188127,0.07155421,0.05439831,0.003759402],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7081574,0.00003973195,0.2377,0.0002348352,0.00008926965,0.0001808805,0.00002932197,0.00002637034,0.05354229],"genre_scores_gemma":[0.9889247,8.73032e-7,0.008984882,0.0001144784,0.00006291806,7.155153e-7,0.00001633492,0.000009931654,0.001885206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3488702,"threshold_uncertainty_score":0.5504889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01973204405109179,"score_gpt":0.2327495522589984,"score_spread":0.2130175082079066,"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."}}