{"id":"W2093642463","doi":"10.1117/12.839872","title":"Closed-loop control of magnetic fluid deformable mirrors","year":2009,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Deformable mirror; Adaptive optics; Computer science; Wavefront; Controller (irrigation); Optics; Control system; Surface (topology); Actuator; Physics; Computer vision; Artificial intelligence","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":[0.0003364718,0.0003783447,0.0003396848,0.000157971,0.000348844,0.0005936103,0.0007366402,0.0003749627,0.0009887881],"category_scores_gemma":[0.0009426214,0.0001453995,0.0001714513,0.00008147844,0.0004082628,0.0002737559,0.0003559718,0.0003750916,0.0001888038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003814373,"about_ca_system_score_gemma":0.0003911164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00195758,"about_ca_topic_score_gemma":0.001163471,"domain_scores_codex":[0.999745,0.00003313343,0.0000131453,0.00006950198,0.0001131693,0.00002607657],"domain_scores_gemma":[0.9996724,0.0001225343,0.00005965428,0.00002403085,0.0000989592,0.00002235959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008655799,0.0002999634,0.001458159,0.0002960396,0.00007523233,0.0003873393,0.0005306478,0.2154924,0.4553535,0.01049877,0.001418809,0.3133234],"study_design_scores_gemma":[0.00008529321,0.0003215772,0.0007270958,0.000009433235,0.00001530964,0.00007975884,0.00001938574,0.9256364,0.06898818,0.0008498864,0.003242098,0.00002558418],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1741934,0.0003201264,0.8172128,0.0001280226,0.0001580889,0.0001314865,0.0000236608,0.001872172,0.00596029],"genre_scores_gemma":[0.9555098,0.0000666685,0.04229159,0.00002620882,0.00001897455,0.00006558747,0.00001288633,0.00002002985,0.001988169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00195758,"threshold_uncertainty_score":0.003892422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009454950748215613,"score_gpt":0.219570301604483,"score_spread":0.2101153508562673,"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."}}