{"id":"W3204559484","doi":"10.1051/0004-6361/202142254","title":"J-PLUS: Support vector machine applied to STAR-GALAXY-QSO classification","year":2021,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Astronomy and Astrophysical Research","field":"Physics and Astronomy","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Astronomical Observatories, Chinese Academy of Sciences; University of Colorado Boulder; Instituto de Astrofísica de Canarias; Office of Science; Max-Planck-Institut für Astronomie; Max-Planck-Institut für Astrophysik; Smithsonian Astrophysical Observatory; National Development and Reform Commission; Universidad Nacional Autónoma de México; Ministerio de Ciencia e Innovación; Lawrence Berkeley National Laboratory; Financiadora de Estudos e Projetos; Fundação de Amparo à Pesquisa do Estado de São Paulo; Ministério da Ciência, Tecnologia e Inovação; Ministerio de Economía y Competitividad; U.S. Department of Energy; Smithsonian Institution; National Natural Science Foundation of China; Chinese Academy of Sciences; University of Oxford; York University; Jiangsu Association for Science and Technology; Carnegie Institution for Science; Ministerio de Ciencia, Innovación y Universidades; Leibniz-Gemeinschaft; University of Notre Dame; Carnegie Mellon University; Alfred P. Sloan Foundation; University of Washington; Johns Hopkins University; Carnegie Institution of Washington; University of Utah; Ohio State University; New Mexico State University; University of Portsmouth; Vanderbilt University; Agencia Estatal de Investigación; Yale University","keywords":"Sky; Classifier (UML); Quasar; Support vector machine; Computer science; Galaxy; Artificial intelligence; Extrapolation; Photometry (optics); Redshift; Astrophysics; Physics; Pattern recognition (psychology); Stars; Mathematics; Statistics","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001217243,0.0004675294,0.0005365988,0.00008543809,0.0003846873,0.0002421708,0.0003277269,0.00005962154,0.001145584],"category_scores_gemma":[0.000006665882,0.0004839949,0.0001963212,0.0004572318,0.0001447519,0.0003083553,0.0003843449,0.0005326675,0.0005454137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007912985,"about_ca_system_score_gemma":0.0004036482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004893597,"about_ca_topic_score_gemma":0.000002592066,"domain_scores_codex":[0.9972934,0.00007920872,0.0004469354,0.0008883364,0.0003965199,0.0008956554],"domain_scores_gemma":[0.9983578,0.00008731602,0.0001488747,0.000619533,0.0001776083,0.0006088175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001351672,0.0003392081,0.004378454,0.00001289044,0.000197238,0.000005662084,0.0002521208,0.0002730225,0.02638927,0.05454291,0.0007507688,0.9127233],"study_design_scores_gemma":[0.009004215,0.00179118,0.1561663,0.0001844247,0.0004814821,0.000009286216,0.01194494,0.002404357,0.2279667,0.005271096,0.5807058,0.004070173],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1948048,0.00001991457,0.7950439,0.0007130947,0.0001503159,0.000493305,0.0003253467,0.0000787242,0.008370622],"genre_scores_gemma":[0.9310156,0.000001391636,0.06628647,0.00008318776,0.0009317576,0.000135632,0.0006542904,0.00005610244,0.0008355702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9086531,"threshold_uncertainty_score":0.9997675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433749630109938,"score_gpt":0.2574264662354761,"score_spread":0.2430889699343767,"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."}}