{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010748,0.0002855382,0.0003691918,0.0001329062,0.0002416312,0.00005792731,0.0001631587,0.00003133364,0.0002271627],"category_scores_gemma":[0.000004539245,0.0002482772,0.000114711,0.0005871345,0.0002261064,0.0002992705,0.0001288609,0.0004275286,0.00008090623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001540806,"about_ca_system_score_gemma":0.0001032692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001051422,"about_ca_topic_score_gemma":0.000001778716,"domain_scores_codex":[0.9984646,0.00006924247,0.0002568501,0.0003826193,0.0002642084,0.0005624755],"domain_scores_gemma":[0.9992771,0.0001228016,0.0001676346,0.0001722099,0.00009221008,0.0001680549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001962596,0.000190374,0.5451361,0.00002336072,0.0002866245,0.000001859645,0.0002345689,0.002327288,0.004775273,0.008373933,0.00008779272,0.4383666],"study_design_scores_gemma":[0.008869586,0.006958226,0.690952,0.0005003259,0.0004394048,0.000009714995,0.009435516,0.0204576,0.2094851,0.002194284,0.04801023,0.002688035],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7564403,0.0000121043,0.2421586,0.00006374659,0.0000317429,0.0001933165,0.0000404459,0.00008873959,0.0009710192],"genre_scores_gemma":[0.9878833,0.0000036626,0.01092385,0.00000121186,0.0002875521,0.00002272739,0.0001427344,0.00003754315,0.0006974393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4356785,"threshold_uncertainty_score":0.999997,"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."}}