{"id":"W7019252553","doi":"","title":"Gaia Data Release 3 Summary of the content and survey properties","year":2023,"lang":"en","type":"article","venue":"UCL Discovery (University College London)","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut National de Physique Nucléaire et de Physique des Particules; Agencia Estatal de Investigación; Australian Research Council; Observatoire de Paris, Université de Recherche Paris Sciences et Lettres; University of Colorado Boulder; Max-Planck-Institut für Astronomie; Max-Planck-Institut für Astrophysik; Xunta de Galicia; Barcelona Supercomputing Center; Universidad Nacional Autónoma de México; Istituto Nazionale di Astrofisica; European Regional Development Fund; Universitat de Barcelona; Centre National de la Recherche Scientifique; Ministerstwo Edukacji i Nauki; Tel Aviv University; Nemzeti Kutatási Fejlesztési és Innovációs Hivatal; Javna Agencija za Raziskovalno Dejavnost RS; Liverpool John Moores University; Magyar Tudományos Akadémia; Science and Technology Facilities Council; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; York University; Ministério da Ciência, Tecnologia e Inovação; Technische Universität Dresden; Centre National d’Etudes Spatiales; Generalitat de Catalunya; Yale University; University of Queensland; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Zentrum für Informationsdienste und Hochleistungsrechnen, Technische Universität Dresden; Instituto de Astrofísica de Canarias; Carnegie Institution for Science; University of Melbourne; Swinburne University of Technology; Lawrence Berkeley National Laboratory; Monash University; University of Bristol; University of Edinburgh; European Science Foundation; Leverhulme Trust; European Commission; University of Oxford; University of Leicester; University of Cambridge; Fundação para a Ciência e a Tecnologia; University of Washington; Curtin University of Technology; Leibniz-Gemeinschaft; National Computational Infrastructure; Agence Nationale de la Recherche; Agenzia Spaziale Italiana; University of Sydney; Australian Government; Ohio State University; Institut de Ciències del Cosmos; UK Space Agency; Australian National University; University of Portsmouth; University of Utah; New Mexico State University; National Cancer Institute; Australian Astronomical Optics-Macquarie; University College London; Astronomy Australia Limited; University of Notre Dame; Smithsonian Astrophysical Observatory; European Space Agency; Ministerio de Ciencia e Innovación; Johns Hopkins University; Australian National Data Service; Carnegie Mellon University; Science Foundation Ireland; National Science Foundation; Carnegie Institution of Washington; Swedish National Space Agency; Vanderbilt University; National Aeronautics and Space Administration; Smithsonian Institution","keywords":"Photometry (optics); Photometer; Radial velocity; Data processing; Raw data; Data archive; Stars","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":[0.0002122634,0.0001291422,0.0002211927,0.00005811656,0.0003474716,0.00001944746,0.0004166671,0.0000260333,0.00003497765],"category_scores_gemma":[0.00003505981,0.00009954863,0.00005666232,0.0003502098,0.0001937245,0.0004201004,0.0007714719,0.000116604,0.00001791795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001382744,"about_ca_system_score_gemma":0.00008054249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004668047,"about_ca_topic_score_gemma":0.00100653,"domain_scores_codex":[0.9991195,0.0001660241,0.0001053485,0.0002689687,0.0001515309,0.0001886511],"domain_scores_gemma":[0.9990619,0.0002408705,0.00008710613,0.0005122982,0.00005221966,0.00004555913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001796728,0.00004511803,0.9641699,0.00002871997,0.0001806368,0.000008278024,0.0002783027,0.00001819591,0.00003440717,0.001175075,0.03358504,0.0002966299],"study_design_scores_gemma":[0.0006870865,0.00002432551,0.989958,0.00004231033,0.00008429454,9.341549e-7,0.004368937,0.0006232572,0.00005892013,0.00005089585,0.00396206,0.0001389652],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894487,0.0002331829,0.00003202939,0.0003750765,0.0002794814,0.0002545219,0.002465894,0.00002127746,0.006889807],"genre_scores_gemma":[0.9707405,0.0001060405,0.000008541982,0.00002815209,0.00003934324,3.770206e-7,0.0002708544,0.000007724034,0.02879847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02962298,"threshold_uncertainty_score":0.7056722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0547101570967001,"score_gpt":0.2046189280165658,"score_spread":0.1499087709198657,"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."}}