{"id":"W2082212707","doi":"10.1117/12.918708","title":"High fidelity optical modeling for the TMT","year":2011,"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":2,"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; Jet Propulsion Laboratory; Association of Canadian Universities for Research in Astronomy; National Aeronautics and Space Administration; California Institute of Technology; Gordon and Betty Moore Foundation; National Science Foundation","keywords":"Adaptive optics; Wavefront; Computer science; Deformable mirror; Primary mirror; Optics; Wavefront sensor; Process (computing); Telescope; Fidelity; Active optics; Physics","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":[0.0006346838,0.0003245068,0.0003984755,0.000046661,0.0001952258,0.0001016258,0.000789062,0.00012086,0.00002466151],"category_scores_gemma":[0.0001763808,0.000231254,0.0007965816,0.0001556318,0.0002223596,0.0003664166,0.0001874376,0.0003205985,0.000001485444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007298501,"about_ca_system_score_gemma":0.00003540153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006716423,"about_ca_topic_score_gemma":1.656091e-7,"domain_scores_codex":[0.998023,1.203798e-8,0.0006738042,0.0003843897,0.0004572933,0.0004614793],"domain_scores_gemma":[0.9975412,0.0002147418,0.0003052004,0.0000795394,0.001743312,0.0001159675],"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":[0.0001151323,0.0001275147,0.0002224606,0.00009475581,0.0006105492,2.49369e-8,0.0002694739,0.0008515337,0.05846149,0.9376895,0.0008663107,0.0006912486],"study_design_scores_gemma":[0.001920748,0.0004104667,0.0007558095,0.0002765808,0.0006093259,0.000004914717,0.005027334,0.8473566,0.09273086,0.048344,0.001834631,0.0007287752],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852108,0.00004724655,0.00902647,0.001083648,0.0002964362,0.0006831429,0.00007898251,0.00004156564,0.00353168],"genre_scores_gemma":[0.7941161,0.00001227401,0.2048209,0.00005670714,0.0006925442,0.0001046371,0.000008827273,0.00005275567,0.0001352673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8893455,"threshold_uncertainty_score":0.9430264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02243164156154924,"score_gpt":0.2317285416036789,"score_spread":0.2092969000421296,"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."}}