{"id":"W2115219139","doi":"10.1364/ao.48.004018","title":"Wavefront reconstruction over a circular aperture using gradient data extrapolated via the mirror equations","year":2009,"lang":"en","type":"article","venue":"Applied Optics","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Simon Fraser University","funders":"","keywords":"Extrapolation; Wavefront; Aperture (computer memory); Optics; Residual; Reconstruction algorithm; Signal reconstruction; Physics; Algorithm; Computer science; Iterative reconstruction; Mathematics; Signal processing; Mathematical analysis; Computer vision; Acoustics; Telecommunications","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":[0.0001543339,0.0002112138,0.000188011,0.00004393478,0.0004110141,0.00009399328,0.0002666551,0.00006720133,0.00004938918],"category_scores_gemma":[0.00000748835,0.0001668232,0.00006645494,0.0001721423,0.00008176894,0.0001387752,0.00008089866,0.0002589101,0.0000186806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004808173,"about_ca_system_score_gemma":0.0000487963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009475886,"about_ca_topic_score_gemma":0.000005433969,"domain_scores_codex":[0.9988272,0.00002261958,0.0002816641,0.0003663487,0.0001875047,0.0003147257],"domain_scores_gemma":[0.998845,0.00008558154,0.0001579243,0.0007726952,0.00005889944,0.00007989563],"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":[0.00006980765,0.0005270011,0.0006542122,0.00001270141,0.0006312396,0.000009133378,0.001449871,0.003575176,0.2626005,0.5828128,0.0003850953,0.1472725],"study_design_scores_gemma":[0.0006429533,0.0000338833,0.001374949,0.00002736756,0.0002379997,0.00001205754,0.0007498728,0.9639004,0.0005771114,0.02888046,0.003104021,0.0004589366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2028691,0.00009442602,0.7857229,0.0005100234,0.0003106477,0.0006469331,0.000107061,0.00005636048,0.009682579],"genre_scores_gemma":[0.9668984,0.000003365844,0.03235838,0.0002158435,0.0002066797,0.000002648176,0.0002470793,0.000022588,0.00004501319],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9603252,"threshold_uncertainty_score":0.6802853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0401656201660031,"score_gpt":0.2653122667007819,"score_spread":0.2251466465347788,"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."}}