{"id":"W2989611983","doi":"10.1093/mnras/stz3293","title":"Mapping the dark matter halo of early-type galaxy NGC 2974 through orbit-based models with combined stellar and cold gas kinematics","year":2019,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Planetary Science Division; Science Mission Directorate; Max-Planck-Institut für Physik Komplexer Systeme; Smithsonian Astrophysical Observatory; University of Edinburgh; Max-Planck-Institut für Astronomie; Max-Planck-Gesellschaft; Queen's University; University of Maryland; Chinese Academy of Sciences; Horizon 2020 Framework Programme; European Research Council; Gordon and Betty Moore Foundation; Queen's University Belfast; Scottish Universities Physics Alliance; Space Telescope Science Institute; University of Hawai'i; National Central University; Eötvös Loránd Tudományegyetem; European Commission; Los Alamos National Laboratory; Johns Hopkins University; Durham University; Smithsonian Institution; China Scholarship Council; National Aeronautics and Space Administration; National Science Foundation","keywords":"Physics; Astrophysics; Stellar kinematics; Dark matter; Dark matter halo; Astronomy; Galaxy; Cold dark matter; Gravitational potential; Halo; Milky Way","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":[0.0005375276,0.000383841,0.0002618486,0.000751209,0.0002765547,0.0007671729,0.0007197476,0.0002631826,0.001045454],"category_scores_gemma":[0.000727954,0.000291875,0.0006770578,0.0003698168,0.0003243017,0.0003615061,0.0007116585,0.0001791009,0.0002750511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001014373,"about_ca_system_score_gemma":0.0004983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02387594,"about_ca_topic_score_gemma":0.01439497,"domain_scores_codex":[0.9999098,0.00002734299,0.000004300326,0.00002021552,0.00002071055,0.00001764498],"domain_scores_gemma":[0.9996674,0.00006840472,0.00007735814,0.00007784406,0.00003804334,0.00007104559],"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":[0.000268662,0.00008067843,0.3387123,0.00003356836,0.0003708809,0.0002345253,0.0001354718,0.6187501,0.02224221,0.003964598,0.0004238237,0.01478309],"study_design_scores_gemma":[0.00001484207,0.00002695858,0.05570357,0.000005923686,0.0000447332,0.0000496199,0.00004046098,0.9398673,0.002306769,0.001536054,0.0003886739,0.00001516636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779347,0.0000577864,0.0202775,0.00003425018,0.000003270677,0.000006337665,0.0001859175,0.0001289789,0.001371268],"genre_scores_gemma":[0.9972503,0.00001396282,0.002325038,0.000004062392,0.000001922748,0.000003183461,0.000187398,0.00001703242,0.0001970759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02387594,"threshold_uncertainty_score":0.04747397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00919179310264462,"score_gpt":0.1831808015253325,"score_spread":0.1739890084226879,"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."}}