{"id":"W1974998278","doi":"10.1117/12.925087","title":"TMT NFIRAOS: adaptive optics system for the Thirty Meter Telescope","year":2012,"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":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Institut National d'Optique; Herzberg Institute of Astrophysics","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":"Adaptive optics; Astrometry; Laser guide star; Photometry (optics); Telescope; First light; Sky; Optics; Remote sensing; Physics; Guide star; Metre; Computer science; Field of view; Astronomy; Light source; Stars; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001136469,0.0004477053,0.0003620692,0.0006438917,0.0005992548,0.0007535991,0.0008809583,0.0005203583,0.01264713],"category_scores_gemma":[0.0008120671,0.0002585319,0.0002649035,0.0004997084,0.0003251105,0.000888443,0.0008794227,0.000950533,0.006454447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001073592,"about_ca_system_score_gemma":0.001494686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003260712,"about_ca_topic_score_gemma":0.004710033,"domain_scores_codex":[0.9993598,0.00004452136,0.0000215473,0.00008926757,0.0004144238,0.00007044838],"domain_scores_gemma":[0.9994759,0.00003355988,0.00005683144,0.00008557843,0.0002442646,0.0001039404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001352519,0.0001477071,0.008381413,0.0003191725,0.00005663381,0.0002657801,0.0005769772,0.003770481,0.3778526,0.03252081,0.1092923,0.4654636],"study_design_scores_gemma":[0.0001689412,0.0008518452,0.01626469,0.00008467139,0.00004598633,0.001535038,0.00009112999,0.06308223,0.1040476,0.003957402,0.8096696,0.0002009649],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09277675,0.002840122,0.7206898,0.001192847,0.0008009748,0.0009799626,0.004786633,0.04265216,0.1332807],"genre_scores_gemma":[0.2645295,0.0008578137,0.6708956,0.0006193899,0.0001979227,0.000481865,0.006860806,0.001360533,0.0541966],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01264713,"threshold_uncertainty_score":0.04230887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0166081611921643,"score_gpt":0.2305412226814537,"score_spread":0.2139330614892894,"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."}}