{"id":"W3123227886","doi":"10.1051/0004-6361/201936622","title":"SYMBA: An end-to-end VLBI synthetic data generation pipeline","year":2019,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; Canadian Institute for Advanced Research; University of Toronto; Perimeter Institute; University of Waterloo","funders":"Los Alamos National Laboratory; Office of International Science and Engineering; National Key Research and Development Program of China; Comisión Nacional de Investigación Científica y Tecnológica; Japan Society for the Promotion of Science; China Scholarship Council; European Southern Observatory; Ministry of Education, Culture, Sports, Science and Technology; John Templeton Foundation; Ministerio de Economía y Competitividad; Natural Sciences and Engineering Research Council of Canada; National Nuclear Security Administration; Institut Périmètre de physique théorique; Recruitment Program of Global Experts; Academy of Finland; Max-Planck-Gesellschaft; Centre National de la Recherche Scientifique; National Natural Science Foundation of China; National Research Foundation of Korea; Ministerio de Ciencia, Innovación y Universidades; Nuclear Safety and Security Commission; Generalitat Valenciana; Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México; Consejo Nacional de Ciencia y Tecnología; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Instituto de Astrofísica de Andalucía; Chinese Academy of Sciences; Vetenskapsrådet; International Max Planck Research School for Environmental, Cellular and Molecular Microbiology; Smithsonian Institution; U.S. Department of Energy; European Commission; Leverhulme Trust; National Radio Astronomy Observatory; Harvard University; Toray Science Foundation; National Research Foundation; University of Arizona; National Astronomical Observatory of Japan; Space Telescope Science Institute; Associated Universities; Universidad Nacional Autónoma de México; Korea Astronomy and Space Science Institute; National Science Foundation; Compute Canada; National Institutes of Natural Sciences; Government of Canada; Istituto Nazionale di Fisica Nucleare; Department of Science and Technology, Ministry of Science and Technology, India; Russian Science Foundation; Gordon and Betty Moore Foundation; National Aeronautics and Space Administration; Academia Sinica; Flatiron Health","keywords":"Physics; Very-long-baseline interferometry; Astrophysics; Astronomy; End-to-end principle","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001763177,0.001266797,0.000660321,0.001113227,0.0005107031,0.001541043,0.00244044,0.0008562657,0.01374378],"category_scores_gemma":[0.005823125,0.0009730944,0.0009875891,0.001090802,0.0004941214,0.001239619,0.002498758,0.001928249,0.006664416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007369519,"about_ca_system_score_gemma":0.001097839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003696291,"about_ca_topic_score_gemma":0.00293959,"domain_scores_codex":[0.9991862,0.0001285192,0.00005230841,0.0002134483,0.0003388872,0.00008066229],"domain_scores_gemma":[0.9982376,0.0004418298,0.0001528866,0.0005741798,0.0004118658,0.000181557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002301817,0.0006864326,0.02302208,0.0008831731,0.0009508253,0.001871967,0.001585577,0.1649407,0.134909,0.01753375,0.1948704,0.4564444],"study_design_scores_gemma":[0.0004433427,0.0002587665,0.00633742,0.00004061315,0.000059935,0.0003722008,0.0001952229,0.8517963,0.04655508,0.01662354,0.07715914,0.0001584036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02190614,0.0001550094,0.7971092,0.0004813282,0.0001927993,0.0005335676,0.01262819,0.1626288,0.004364927],"genre_scores_gemma":[0.2157647,0.0001489634,0.7058396,0.0003357116,0.00009980577,0.0009951213,0.05499873,0.01859115,0.003226203],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01374378,"threshold_uncertainty_score":0.04597753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01938555002179801,"score_gpt":0.2348000096078258,"score_spread":0.2154144595860278,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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