{"id":"W4384942767","doi":"10.1088/1674-4527/ace9b2","title":"Identifying Symbiotic Stars with Machine Learning","year":2023,"lang":"en","type":"article","venue":"Research in Astronomy and Astrophysics","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; National Astronomical Observatories, Chinese Academy of Sciences; University of Colorado Boulder; Jet Propulsion Laboratory; Instituto de Astrofísica de Canarias; Office of Science; Max-Planck-Institut für Astronomie; Max-Planck-Institut für Astrophysik; Natural Science Foundation of Xinjiang; National Development and Reform Commission; U.S. Department of Energy; Smithsonian Institution; National Natural Science Foundation of China; Chinese Academy of Sciences; University of Oxford; York University; Leibniz-Gemeinschaft; University of Notre Dame; Carnegie Mellon University; Universidad Nacional Autónoma de México; University of Washington; Alfred P. Sloan Foundation; Johns Hopkins University; Carnegie Institution of Washington; University of Utah; Ohio State University; California Institute of Technology; Ministério da Ciência, Tecnologia e Inovação; National Aeronautics and Space Administration; New Mexico State University; University of California, Los Angeles; University of Portsmouth; Vanderbilt University; Yale University; National Science Foundation","keywords":"Physics; LAMOST; Symbiotic star; Astrophysics; Sky; Stars; Galaxy; Astronomy; Spectral line; Emission spectrum","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":[0.0004623665,0.0002015691,0.0002670508,0.000259156,0.0004170513,0.0001400998,0.0001581699,0.0000265579,0.00007180246],"category_scores_gemma":[0.00000676336,0.0001782313,0.00004349763,0.0007433327,0.0001926534,0.0001834065,0.0001936192,0.000759727,0.0001322227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002945529,"about_ca_system_score_gemma":0.00006193067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005045744,"about_ca_topic_score_gemma":0.00001549566,"domain_scores_codex":[0.998078,0.0001683286,0.0001931831,0.0003954765,0.0003824896,0.0007825561],"domain_scores_gemma":[0.9992477,0.000316137,0.00005445013,0.0001867182,0.0000621092,0.0001328885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004483011,0.0000467668,0.8549114,0.00002726313,0.00007900081,0.00001692408,0.000338383,0.000884006,0.00005986265,0.0009979242,0.0000600547,0.1425335],"study_design_scores_gemma":[0.002866318,0.0007844713,0.9520872,0.0003904424,0.00005394562,0.000004942303,0.008698867,0.004002585,0.0007654139,0.003113362,0.02650601,0.0007263977],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716632,0.0001846183,0.01360264,0.0002195376,0.00009293187,0.000371993,0.00001945026,0.00007874261,0.01376689],"genre_scores_gemma":[0.9947444,0.0000355024,0.004355946,0.000002672047,0.0002476117,0.00002638377,0.0001205691,0.00002723355,0.0004397396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1418072,"threshold_uncertainty_score":0.7268063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04717719808059373,"score_gpt":0.3091887492265743,"score_spread":0.2620115511459806,"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."}}