{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001468097,0.0003244523,0.0003558666,0.0001063498,0.0002085843,0.0001673697,0.0006024181,0.00005917474,0.0008222333],"category_scores_gemma":[0.000003014823,0.000333467,0.00006209189,0.0002178073,0.00008205748,0.0009303099,0.0003454031,0.0002662231,0.0002521458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002352867,"about_ca_system_score_gemma":0.00008331361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001569693,"about_ca_topic_score_gemma":0.000007314384,"domain_scores_codex":[0.9981003,0.00005035898,0.000351918,0.0008624846,0.0001549488,0.0004800235],"domain_scores_gemma":[0.9980862,0.00003092656,0.0001453049,0.001459825,0.00007225035,0.0002055013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001244327,0.0002466883,0.02678457,0.000004599155,0.00007498139,6.702621e-7,0.00005393543,0.0008486231,0.005591907,0.03090683,0.0004083218,0.9350664],"study_design_scores_gemma":[0.004648071,0.001827787,0.04706844,0.0001085782,0.000565691,0.00001461352,0.003474189,0.1137973,0.01785023,0.0029945,0.8046641,0.002986536],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6237149,0.00001576069,0.3740147,0.0001830411,0.0001820976,0.0003826613,0.0002466205,0.0000568481,0.001203323],"genre_scores_gemma":[0.9121953,8.661019e-7,0.08502662,0.00004515894,0.0008656057,0.00005939416,0.001464358,0.00003900793,0.0003036714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9320799,"threshold_uncertainty_score":0.9999117,"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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