{"id":"W2980746713","doi":"10.1117/12.2541639","title":"Model-based wavefront sensorless control with magnetic fluid deformable mirror for large aberration corrections","year":2019,"lang":"en","type":"article","venue":"","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Wavefront; Deformable mirror; Adaptive optics; Zernike polynomials; Wavefront sensor; Physics; Optics; Actuator; Control theory (sociology); Computer science; Artificial intelligence; Control (management)","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":[0.0002302087,0.0004888324,0.0004668002,0.0001562355,0.0002907959,0.0005601774,0.0008602209,0.0004501032,0.0008585619],"category_scores_gemma":[0.0005048123,0.0001814351,0.0003597461,0.0001347366,0.0003084078,0.0005024167,0.0004132602,0.0004905407,0.0002388594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005544323,"about_ca_system_score_gemma":0.0005612232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004205651,"about_ca_topic_score_gemma":0.003228945,"domain_scores_codex":[0.9997633,0.00002361141,0.00001108178,0.00005046868,0.000135177,0.00001640304],"domain_scores_gemma":[0.9998021,0.00004315278,0.00005075285,0.00002323996,0.00007021522,0.00001064696],"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":[0.0002656221,0.0001519446,0.001232306,0.0002716231,0.00006955212,0.0001778735,0.0003501317,0.3138259,0.3697114,0.01140613,0.002159257,0.3003783],"study_design_scores_gemma":[0.00001941037,0.00009115978,0.0003164908,0.000004749069,0.000008127881,0.00003889039,0.00001024887,0.9750432,0.02178212,0.0004388269,0.0022351,0.00001159669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0272074,0.0001988444,0.9692845,0.00008743978,0.00006399391,0.00004416458,0.0000144102,0.000904478,0.002194685],"genre_scores_gemma":[0.8132006,0.0001789658,0.1826851,0.00006066874,0.00002124486,0.0001030802,0.00004777423,0.0000574175,0.003645197],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004205651,"threshold_uncertainty_score":0.008362353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01018660968475744,"score_gpt":0.2211413444600222,"score_spread":0.2109547347752647,"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."}}