{"id":"W2020094629","doi":"10.1117/12.669834","title":"Observatory software for the Thirty Meter Telescope (TMT)","year":2006,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Astronomy and Astrophysical Research","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Herzberg Institute of Astrophysics","funders":"Ontario Ministry of Research and Innovation; National Research Council Canada; Gordon and Betty Moore Foundation; National Science Foundation","keywords":"Observatory; Suite; Telescope; Software; Instrumentation (computer programming); Computer science; Systems engineering; First light; Astronomy; Operating system; Engineering; Physics; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004230078,0.0003123712,0.0003658326,0.00004272185,0.0001989647,0.0001520235,0.001109664,0.00009461756,0.00003587979],"category_scores_gemma":[0.0001641823,0.000211996,0.0008747627,0.000256963,0.0002970487,0.0004371261,0.0002078828,0.0003761367,0.000003076456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008119464,"about_ca_system_score_gemma":0.00006267548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004580376,"about_ca_topic_score_gemma":1.478094e-7,"domain_scores_codex":[0.99796,1.802846e-8,0.0005453557,0.0003690398,0.0005970004,0.0005285355],"domain_scores_gemma":[0.9976007,0.0004350307,0.0002905363,0.00007796555,0.001497776,0.00009796789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001281325,0.0002823932,0.005882636,0.0001742406,0.0007092042,2.55703e-8,0.00006584237,0.0002668561,0.1470493,0.8267955,0.01345052,0.005195355],"study_design_scores_gemma":[0.006123383,0.001286871,0.02153714,0.0007512512,0.0009616391,0.000004121058,0.006551967,0.06412908,0.793026,0.03087857,0.07294437,0.001805602],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924244,0.00006762439,0.003625712,0.001542297,0.0001527172,0.0008136431,0.000152779,0.00004671493,0.001174145],"genre_scores_gemma":[0.8794267,0.000006408634,0.1172597,0.00006526031,0.001799025,0.0005715531,0.00002923302,0.00007252688,0.0007695807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7959169,"threshold_uncertainty_score":0.8644944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01282650508734378,"score_gpt":0.2379540995070126,"score_spread":0.2251275944196688,"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."}}