{"id":"W4404168767","doi":"10.1093/mnras/stae2524","title":"Cataclysmic variables from Sloan Digital Sky Survey – V (2020–2023) identified using machine learning","year":2024,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Astrophysics and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Leibniz-Gemeinschaft; Deutsches Elektronen-Synchrotron; H2020 European Research Council; Smithsonian Astrophysical Observatory; Science and Technology Facilities Council; Horizon 2020 Framework Programme; University of Colorado Boulder; National Astronomical Observatories, Chinese Academy of Sciences; University of Illinois at Urbana-Champaign; Max-Planck-Institut für Astronomie; Leibniz-Institut für Astrophysik Potsdam; China National Textile and Apparel Council; Stockholms Universitet; Nuclear Safety and Security Commission; Universidad Nacional Autónoma de México; Space Telescope Science Institute; École Polytechnique Fédérale de Lausanne; Agencia Nacional de Investigación e Innovación; Queen's University Belfast; Pennsylvania State University; University of Virginia; University of Arizona; Alfred P. Sloan Foundation; University of Washington; European Space Agency; Johns Hopkins University; Carnegie Institution of Washington; University of Utah; Fondo Nacional de Desarrollo Científico y Tecnológico; Queen's University; Harvard University; Ohio State University; Yunnan University; National Science Foundation; University of Maryland; Smithsonian Institution; Nanjing University; New Mexico State University; Science Mission Directorate; University of Toronto; Yale University; European Commission; California Institute of Technology; National Aeronautics and Space Administration","keywords":"Physics; Sky; Astrophysics; Astronomy","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":[0.0002300132,0.000304044,0.0003923948,0.00001408228,0.0002460165,0.0003961239,0.0005990537,0.00005816951,0.0002489462],"category_scores_gemma":[0.00001022324,0.0002395918,0.0005783419,0.0001861716,0.0001651081,0.0002660713,0.000532053,0.0005162684,0.00003993895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001039926,"about_ca_system_score_gemma":0.0001158598,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01202307,"about_ca_topic_score_gemma":0.00003255786,"domain_scores_codex":[0.9983066,0.00009794981,0.0004399986,0.0004949511,0.0002403086,0.0004201592],"domain_scores_gemma":[0.9990037,0.000265778,0.0002139298,0.0003590949,0.00004407974,0.0001134106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003774385,0.0001631939,0.1951726,0.00002379141,0.0008576163,2.897487e-7,0.0003655288,0.7981741,0.0003840057,0.0002596836,0.0006448973,0.003916591],"study_design_scores_gemma":[0.0002990075,0.00002573826,0.04494296,0.00006714591,0.0001553844,4.672084e-9,0.0003389516,0.9522326,0.0003137325,0.0006236003,0.0007285582,0.0002722949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938115,0.0002969335,0.002514655,0.00005627233,0.0005233719,0.0001560116,0.001910793,0.0000416057,0.0006888311],"genre_scores_gemma":[0.9973928,9.472532e-8,0.0009227864,0.000009070594,0.0005534637,0.000007142897,0.0004480437,0.00004560938,0.0006210227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1540585,"threshold_uncertainty_score":0.994556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009428834969874667,"score_gpt":0.208651993974888,"score_spread":0.1992231590050133,"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."}}