{"id":"W4367549620","doi":"10.1093/mnras/stad1299","title":"MaNGA DynPop – I. Quality-assessed stellar dynamical modelling from integral-field spectroscopy of 10K nearby galaxies: a catalogue of masses, mass-to-light ratios, density profiles, and dark matter","year":2023,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; Leibniz-Gemeinschaft; Max-Planck-Institut für Astronomie; University of Colorado Boulder; Ministério da Ciência, Tecnologia e Inovação; National Natural Science Foundation of China; University of Oxford; York University; University of Notre Dame; Office of Science; Johns Hopkins University; University of Utah; Ministry of Science and Technology; Ohio State University; National Science Foundation; University of Washington; Smithsonian Institution; Alfred P. Sloan Foundation; New Mexico State University; University of Portsmouth; Vanderbilt University; Yale University; U.S. Department of Energy","keywords":"Physics; Dark matter; Galaxy; Astrophysics; Halo; Dark matter halo; Stellar mass; Stellar kinematics; Stellar population; Galaxy formation and evolution; Population; RADIUS; Astronomy; Milky Way; Star formation","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":[0.001229111,0.000559632,0.0003292782,0.001954517,0.0003906837,0.0009880324,0.0006852392,0.0002563242,0.001029889],"category_scores_gemma":[0.002336797,0.0003345608,0.0007625329,0.001107714,0.000322809,0.0006568666,0.001304274,0.0002648583,0.001218916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006320146,"about_ca_system_score_gemma":0.0005170925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01625815,"about_ca_topic_score_gemma":0.01643199,"domain_scores_codex":[0.9994292,0.00009883394,0.00003099212,0.0002165734,0.0001301624,0.00009424848],"domain_scores_gemma":[0.9978587,0.0002088624,0.0005050778,0.0008395815,0.0002664989,0.0003213288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002101011,0.00004600105,0.9500577,0.0001586772,0.0002629989,0.0001924679,0.000384744,0.01140117,0.004873097,0.001025597,0.007744862,0.02364249],"study_design_scores_gemma":[0.00002423095,0.00005619892,0.9575235,0.00004559047,0.00005616061,0.000214512,0.0001666709,0.02601759,0.001661509,0.0004217601,0.01377454,0.00003772035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.953666,0.000477882,0.003678472,0.00009111005,0.00001924204,0.00005701913,0.03655775,0.001530484,0.003922012],"genre_scores_gemma":[0.9183764,0.0001694469,0.006576318,0.00004043432,0.00003240566,0.00007237369,0.0732912,0.0004608121,0.0009805509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01625815,"threshold_uncertainty_score":0.03232706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008992008546411677,"score_gpt":0.2200928550818508,"score_spread":0.2111008465354391,"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."}}