{"id":"W3136594200","doi":"10.1051/0004-6361/202040131","title":"VEXAS: VISTA EXtension to Auxiliary Surveys","year":2021,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Astronomical Observations and Instrumentation","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Smithsonian Astrophysical Observatory; Science and Technology Facilities Council; University of Colorado Boulder; Instituto de Astrofísica de Canarias; Office of Science; Max-Planck-Institut für Astronomie; Max-Planck-Institut für Astrophysik; Australian Research Council; Universidad Nacional Autónoma de México; Ministério da Ciência, Tecnologia e Inovação; University of Queensland; Danmarks Frie Forskningsfond; Swinburne University of Technology; University of Oxford; York University; Carnegie Institution for Science; Villum Fonden; Leibniz-Gemeinschaft; University of Notre Dame; Carnegie Mellon University; Alfred P. Sloan Foundation; University of Washington; European Space Agency; Johns Hopkins University; Carnegie Institution of Washington; University of Utah; Ohio State University; National Science Foundation; Hintze Family Charitable Foundation; U.S. Department of Energy; Smithsonian Institution; National Aeronautics and Space Administration; New Mexico State University; University of Portsmouth; Vanderbilt University; Yale University","keywords":"Physics; Extension (predicate logic); Astrophysics; Astronomy; Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002379888,0.001135053,0.0008456914,0.003490046,0.0006476701,0.001992214,0.002386712,0.0007424923,0.02758668],"category_scores_gemma":[0.007880165,0.0007899981,0.001253487,0.004374411,0.0002997172,0.001575777,0.002692021,0.001246143,0.02118114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007382995,"about_ca_system_score_gemma":0.00141427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02212876,"about_ca_topic_score_gemma":0.02052486,"domain_scores_codex":[0.9982972,0.0003547333,0.0001361076,0.0004512739,0.0005141378,0.000246583],"domain_scores_gemma":[0.9959294,0.0007240259,0.0005420852,0.001548338,0.0008358702,0.0004203494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007926014,0.0001286407,0.04400819,0.0004530621,0.0002617404,0.0001150881,0.0003291715,0.004062272,0.002185304,0.004954952,0.9043394,0.03836962],"study_design_scores_gemma":[0.0004664328,0.00006790361,0.04906349,0.0001340682,0.00007016983,0.0001677573,0.0001429204,0.008234238,0.002275538,0.005195215,0.9341156,0.00006671787],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.01551688,0.0002532708,0.01500082,0.0003340711,0.0001636114,0.000306685,0.9101547,0.04399306,0.01427689],"genre_scores_gemma":[0.02256251,0.0001220078,0.0235041,0.0002119598,0.000106291,0.0006427307,0.9427988,0.006633163,0.003418468],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02758668,"threshold_uncertainty_score":0.09228659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0094329715371438,"score_gpt":0.1964685196823719,"score_spread":0.187035548145228,"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."}}