{"id":"W2480975271","doi":"10.1117/12.2234322","title":"TMT common software update","year":2016,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":1,"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; National Institutes of Natural Sciences; California Institute of Technology; Gordon and Betty Moore Foundation; National Science Foundation","keywords":"Computer science; Software engineering; Software; Software construction; Key (lock); Software system; Operating system","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":[0.0007445003,0.000323956,0.0004402799,0.00009205176,0.0001088937,0.0002171299,0.002630674,0.000175945,0.000007551211],"category_scores_gemma":[0.0004175492,0.0002213006,0.0006083315,0.0003911121,0.0001731977,0.0008414806,0.0004644123,0.000210445,0.000009861612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001385745,"about_ca_system_score_gemma":0.00004104008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007757323,"about_ca_topic_score_gemma":1.114762e-7,"domain_scores_codex":[0.9975069,1.919864e-8,0.0007316049,0.0004981334,0.0007690574,0.0004942614],"domain_scores_gemma":[0.9976611,0.0002387345,0.00045613,0.0001238933,0.001364067,0.0001561125],"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":[0.00003002128,0.00009529062,0.0009959383,0.0002457098,0.0002842273,1.928513e-7,0.0001457827,0.00007301926,0.1158086,0.8677259,0.01194462,0.002650691],"study_design_scores_gemma":[0.01244746,0.002708806,0.01334222,0.006466687,0.0005803725,0.0003805197,0.001496437,0.2168373,0.40871,0.07416718,0.2578267,0.005036345],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839913,0.00009274246,0.008457806,0.00482949,0.0005309815,0.0003628447,0.00005809206,0.0002653853,0.00141133],"genre_scores_gemma":[0.7830275,0.0000575988,0.2156695,0.0002095423,0.0005028765,0.0000877975,0.000007002654,0.00005066932,0.0003875292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7935587,"threshold_uncertainty_score":0.9024376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01114299645953633,"score_gpt":0.2245185327865643,"score_spread":0.213375536327028,"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."}}