{"id":"W4386849365","doi":"10.1051/0004-6361/202245770","title":"Selection of powerful radio galaxies with machine learning","year":2023,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Astronomy and Astrophysical Research","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Planetary Science Division; Fundação para a Ciência e a Tecnologia; Smithsonian Astrophysical Observatory; University of Colorado Boulder; Instituto de Astrofísica de Canarias; Office of Science; Max-Planck-Institut für Astronomie; Max-Planck-Institut für Astrophysik; Eötvös Loránd Tudományegyetem; Jet Propulsion Laboratory; Universidade de Lisboa; National Central University; Queen's University; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Ministério da Ciência, Tecnologia e Inovação; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Gordon and Betty Moore Foundation; Queen's University Belfast; University of Oxford; Durham University; York University; Universidad Nacional Autónoma de México; Space Telescope Science Institute; Leibniz-Gemeinschaft; University of Notre Dame; Carnegie Mellon University; Los Alamos National Laboratory; University of Washington; Alfred P. Sloan Foundation; Johns Hopkins University; Carnegie Institution of Washington; University of Utah; Ohio State University; Smithsonian Institution; U.S. Department of Energy; California Institute of Technology; National Aeronautics and Space Administration; Centre National de la Recherche Scientifique; Carnegie Institution for Science; New Mexico State University; University of California, Los Angeles; University of Portsmouth; Vanderbilt University; Science Mission Directorate; Yale University; National Science Foundation","keywords":"Physics; Astrophysics; Active galactic nucleus; Supermassive black hole; Galaxy; Radio galaxy; Chandra Deep Field South; Astronomy; Star formation","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":[0.001512149,0.001202548,0.000651056,0.002072175,0.0005896366,0.001360786,0.001844587,0.001068956,0.002079999],"category_scores_gemma":[0.004527082,0.0003638212,0.001297902,0.0008892887,0.0004156229,0.0007469001,0.0009992312,0.001174375,0.002018223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007103528,"about_ca_system_score_gemma":0.0006344217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00414702,"about_ca_topic_score_gemma":0.005785551,"domain_scores_codex":[0.9993191,0.0001520287,0.00002647532,0.0003085613,0.0001109505,0.0000829455],"domain_scores_gemma":[0.9975855,0.00108699,0.0003148073,0.0004168805,0.0004164204,0.0001793971],"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":[0.0004824743,0.0005395217,0.2375989,0.0004103858,0.0005142816,0.0005671318,0.0003034387,0.1731537,0.01845302,0.003956321,0.03359588,0.5304251],"study_design_scores_gemma":[0.00003216718,0.00007304634,0.02398926,0.00005100945,0.00009158492,0.0001668502,0.00004998922,0.9555805,0.006344592,0.006206406,0.007388294,0.00002636785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3768913,0.003854943,0.5793996,0.001732829,0.0003612049,0.00033143,0.006162746,0.02057314,0.01069273],"genre_scores_gemma":[0.8512623,0.0003337527,0.1313815,0.0007118798,0.0002462398,0.0001651111,0.01132845,0.0003911939,0.004179499],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00414702,"threshold_uncertainty_score":0.008245766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006824570182260115,"score_gpt":0.2284672848877476,"score_spread":0.2216427147054875,"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."}}