{"id":"W4280525275","doi":"10.1051/0004-6361/202243130","title":"J-PLUS: Support vector regression to measure stellar parameters","year":2022,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":12,"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; Lawrence Berkeley National Laboratory; Financiadora de Estudos e Projetos; Ministerio de Economía y Competitividad; U.S. Department of Energy; Smithsonian Institution; National Natural Science Foundation of China; Ministério da Ciência, Tecnologia e Inovação; Fundação de Amparo à Pesquisa do Estado de São Paulo; 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; Ministerio de Ciencia e Innovación; European Commission","keywords":"Surface gravity; Photometry (optics); Effective temperature; Stars; Metallicity; Physics; Stellar atmosphere; LAMOST; Brightness; Astrophysics; Stellar classification; Mean squared error; Computer science; Astronomy; Statistics; Mathematics","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":[0.001873019,0.001574466,0.0009317127,0.001053365,0.0003335963,0.0008121709,0.001682141,0.0009120904,0.001691442],"category_scores_gemma":[0.009750449,0.0003772065,0.0009890929,0.0009586086,0.0002611978,0.0009360358,0.001132066,0.001930187,0.001534215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003265516,"about_ca_system_score_gemma":0.000801995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005380381,"about_ca_topic_score_gemma":0.004581636,"domain_scores_codex":[0.9985833,0.0004789913,0.0001015377,0.0003907827,0.0003661643,0.00007924115],"domain_scores_gemma":[0.9971271,0.00138376,0.0004077469,0.0004275228,0.0005438667,0.0001100885],"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":[0.0004383588,0.0005681938,0.02961766,0.0003920126,0.0007476566,0.0002012611,0.00008833192,0.5144795,0.007103411,0.005621373,0.04237654,0.3983657],"study_design_scores_gemma":[0.00001283131,0.00005958965,0.00278293,0.00001177611,0.00001992485,0.00003587882,0.00001328134,0.9908929,0.001670176,0.001912209,0.002574134,0.00001442184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05904717,0.0008967447,0.9223461,0.0003010653,0.0001988088,0.0001345087,0.004285521,0.01156436,0.001225675],"genre_scores_gemma":[0.4881877,0.0003601204,0.4862092,0.0002520373,0.0001823216,0.0003339752,0.01974561,0.001004029,0.003725022],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005380381,"threshold_uncertainty_score":0.01069814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01416286264026446,"score_gpt":0.2153924623730476,"score_spread":0.2012295997327831,"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."}}