{"id":"W2124126656","doi":"10.1117/12.857395","title":"Primary mirror dynamic disturbance models for TMT: vibration and wind","year":2010,"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":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Ministry of Research and Innovation; British Columbia Knowledge Development Fund; Jet Propulsion Laboratory; Association of Canadian Universities for Research in Astronomy; California Institute of Technology; Gordon and Betty Moore Foundation; National Science Foundation","keywords":"Disturbance (geology); Computer science; Vibration; Control theory (sociology); Acoustics; Physics; Artificial intelligence; Geology; Control (management)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023661,0.0007266949,0.0004266245,0.0002985835,0.0002660727,0.0005940602,0.000586388,0.0008464854,0.002665861],"category_scores_gemma":[0.0009853725,0.0001731118,0.0005728788,0.0002529576,0.0003377148,0.0004762557,0.0004730246,0.0006150843,0.0007017336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003989183,"about_ca_system_score_gemma":0.0004035395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005801784,"about_ca_topic_score_gemma":0.002935962,"domain_scores_codex":[0.9997469,0.00004125741,0.00001050823,0.00004328104,0.0001277448,0.00003039738],"domain_scores_gemma":[0.9996593,0.000122616,0.00005800256,0.00006233529,0.00008105436,0.00001669289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009557197,0.00005346896,0.001628131,0.0001005808,0.00001569104,0.0001767975,0.00007649681,0.9475375,0.03024587,0.002791946,0.0007642775,0.01651373],"study_design_scores_gemma":[0.000001720427,0.00002754469,0.0003987448,0.000003900547,0.000002018816,0.00002144855,0.00001024598,0.9973292,0.001654379,0.0002056828,0.0003418151,0.000003228382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1649241,0.0004467025,0.8174164,0.0002376777,0.00006586842,0.000102542,0.000438607,0.0008390271,0.015529],"genre_scores_gemma":[0.975316,0.0002701973,0.0196576,0.00003743986,0.00001616042,0.0001196653,0.0002460402,0.00009457286,0.0042423],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005801784,"threshold_uncertainty_score":0.01153606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00843315529598926,"score_gpt":0.2173659048269076,"score_spread":0.2089327495309183,"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."}}