{"id":"W4306725906","doi":"10.1093/mnras/stac2442","title":"The stellar populations of quiescent ultra-diffuse galaxies from optical to mid-infrared spectral energy distribution fitting","year":2022,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Secretaria de Ciencia y Tecnica, Universidad de Buenos Aires; Comisión Nacional de Investigación Científica y Tecnológica; Australian Research Council; Science and Technology Facilities Council; National Research Council Canada; Jet Propulsion Laboratory; University of Arizona; National Astronomical Observatory of Japan; Huntington Society of Canada; California Institute of Technology; National Aeronautics and Space Administration; Research Corporation for Science Advancement; University of California, Los Angeles; National Science Foundation","keywords":"Physics; Astrophysics; Galaxy; Metallicity; Stellar population; Stellar mass; Star formation; Redshift; Population; Astronomy; Spectral energy distribution","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":[0.0004790337,0.0003051659,0.0002689171,0.001590831,0.0001991474,0.000548468,0.0004625333,0.0002656266,0.001236298],"category_scores_gemma":[0.001087147,0.0001688716,0.0005349594,0.0008169723,0.0001821367,0.0003181685,0.0004015779,0.0001235026,0.0005432061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002520459,"about_ca_system_score_gemma":0.00009778531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003812101,"about_ca_topic_score_gemma":0.003577716,"domain_scores_codex":[0.9998716,0.00002195938,0.000009634739,0.00005110449,0.00002317341,0.00002256078],"domain_scores_gemma":[0.9993904,0.0001509761,0.0001331526,0.0001322725,0.00009923697,0.00009388885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001258153,0.00003606472,0.9670106,0.00001838487,0.00006826074,0.00004308674,0.0001185353,0.0118547,0.007631131,0.0002551448,0.0001796999,0.01265864],"study_design_scores_gemma":[0.000006678351,0.00004742762,0.9511575,0.000007748478,0.00003171233,0.0001020638,0.0001406194,0.04463853,0.002731104,0.0003797807,0.00074603,0.00001076998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963267,0.00004956212,0.00255195,0.000006174028,7.034818e-7,0.00000462409,0.0005830034,0.0001049907,0.0003722338],"genre_scores_gemma":[0.9965317,0.00001666772,0.00151164,0.000005613934,0.000001135793,0.00000378186,0.001775422,0.00001488431,0.0001391521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003812101,"threshold_uncertainty_score":0.007579803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00748133892517812,"score_gpt":0.1959114018030527,"score_spread":0.1884300628778746,"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."}}