{"id":"W2038871678","doi":"10.1117/12.2054415","title":"Strategies to cope with sodium layer profile variations in laser guide star AO systems","year":2014,"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":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Ministry of Research and Innovation; British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; National Astronomical Observatory of Japan; Association of Canadian Universities for Research in Astronomy; California Institute of Technology; Gordon and Betty Moore Foundation; National Science Foundation","keywords":"Tilt (camera); Deconvolution; Pixel; Computer science; Laser guide star; Optics; Laser; Adaptive optics; Telescope; Frame (networking); Remote sensing; Guide star; Lidar; Algorithm; Computer vision; Geology; Physics; Mathematics; Geometry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004654654,0.0002725789,0.0003716336,0.00009234779,0.00008136997,0.0002024634,0.0004365059,0.00008156812,0.00001408351],"category_scores_gemma":[0.00006970055,0.0002154232,0.0002103204,0.0002669754,0.00009028996,0.0004658854,0.000105604,0.0002285855,0.000003454461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009914334,"about_ca_system_score_gemma":0.00005508715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001082049,"about_ca_topic_score_gemma":9.001304e-7,"domain_scores_codex":[0.9983003,2.719572e-8,0.0005394442,0.0003347197,0.0004520784,0.0003734498],"domain_scores_gemma":[0.9981914,0.0001013486,0.0002624906,0.00005853185,0.001273988,0.0001122455],"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":[0.00006111523,0.0001065858,0.001219517,0.0001313737,0.0002541126,4.661321e-8,0.0002842974,0.001829129,0.08120293,0.9123646,0.00246256,0.00008373123],"study_design_scores_gemma":[0.006317954,0.002011076,0.009476095,0.002231712,0.0005612217,0.00001307846,0.03113626,0.7549672,0.1302264,0.01135533,0.04934515,0.002358481],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756328,0.000009514816,0.001357133,0.0008956161,0.0001176122,0.0006316361,0.00004927362,0.00003393563,0.02127248],"genre_scores_gemma":[0.8849303,0.000002429899,0.1138593,0.00004290451,0.000416723,0.000121138,0.00001280803,0.00004967716,0.0005647323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9010093,"threshold_uncertainty_score":0.8784704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009885229065701592,"score_gpt":0.2257458665006322,"score_spread":0.2158606374349306,"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."}}