{"id":"W4294723931","doi":"10.1051/0004-6361/202243701","title":"SDSS-IV MaStar: Stellar parameter determination with continuum-supplemented full-spectrum fitting","year":2022,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Science and Technology Facilities Council; University of Colorado Boulder; Instituto de Astrofísica de Canarias; Office of Science; Max-Planck-Institut für Astronomie; Ministério da Ciência, Tecnologia e Inovação; University of Oxford; York University; Carnegie Institution for Science; Joint Institute for Nuclear Astrophysics - Center for the Evolution of the Elements; Leibniz-Gemeinschaft; University of Notre Dame; Carnegie Mellon University; Universidad Nacional Autónoma de México; Alfred P. Sloan Foundation; University of Washington; Johns Hopkins University; Carnegie Institution of Washington; University of Utah; Chinese University of Hong Kong; Faculty of Science, Chinese University of Hong Kong; Ohio State University; National Science Foundation; U.S. Department of Energy; Smithsonian Institution; New Mexico State University; University of Portsmouth; Vanderbilt University; Yale University; Max-Planck-Institut für Astrophysik","keywords":"Physics; Markov chain Monte Carlo; Spectral line; Astrophysics; Monte Carlo method; Parameter space; Bayesian inference; Algorithm; Bayesian probability; Statistical physics; Statistics; Computer science; 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":[0.004724807,0.001551032,0.001080754,0.002941984,0.0007006016,0.001688346,0.003702296,0.001084787,0.007871641],"category_scores_gemma":[0.005607425,0.001055874,0.001708925,0.002105228,0.0002657771,0.001411189,0.001757934,0.001436887,0.01180727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005295777,"about_ca_system_score_gemma":0.000969032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002384887,"about_ca_topic_score_gemma":0.003241035,"domain_scores_codex":[0.9989049,0.000270212,0.00008409921,0.0003100354,0.0003537285,0.00007690634],"domain_scores_gemma":[0.9981839,0.0003127983,0.0001972203,0.0008496408,0.0003533314,0.0001032206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001324785,0.001013904,0.121298,0.001168098,0.001853997,0.0007693701,0.0008799866,0.1970738,0.05634518,0.02096591,0.3211778,0.2761292],"study_design_scores_gemma":[0.000380626,0.0002161888,0.03660286,0.00009866968,0.0001867596,0.0004574866,0.0001419668,0.8277834,0.02277133,0.01660367,0.09450238,0.000254667],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1227123,0.0005716928,0.5836068,0.0002567845,0.0001911762,0.0004584162,0.07553814,0.2056218,0.01104282],"genre_scores_gemma":[0.1782441,0.0002302646,0.67256,0.000381463,0.0001118304,0.0008916077,0.1230611,0.02188246,0.002637253],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007871641,"threshold_uncertainty_score":0.02633321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006790578801878092,"score_gpt":0.198097897251011,"score_spread":0.191307318449133,"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."}}