{"id":"W4391462653","doi":"10.48550/arxiv.2401.17553","title":"Dark matter measurements combining stellar and HI kinematics: 30% $1-σ$ outliers with low dark matter content at $5R_\\mathrm{e}$","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Los Alamos National Laboratory; Science and Technology Facilities Council; Smithsonian Astrophysical Observatory; Max-Planck-Institut für Astronomie; Planetary Science Division; Science Mission Directorate; ASTRON; Eötvös Loránd Tudományegyetem; China Postdoctoral Science Foundation; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Space Telescope Science Institute; National Central University; Gordon and Betty Moore Foundation; Queen's University; Johns Hopkins University; Queen's University Belfast; National Aeronautics and Space Administration; Durham University; Smithsonian Institution; National Science Foundation","keywords":"Physics; Astrophysics; Dark matter; Galaxy; Content (measure theory)","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":[0.0007769017,0.0004353375,0.0004202269,0.000895474,0.0002557588,0.0007167435,0.0005782003,0.0003690877,0.001715469],"category_scores_gemma":[0.001927901,0.0001850434,0.0004915815,0.0006554624,0.0004590293,0.0004122448,0.0009900243,0.0003529475,0.001243848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002900989,"about_ca_system_score_gemma":0.0001806644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007511666,"about_ca_topic_score_gemma":0.007850386,"domain_scores_codex":[0.9996406,0.00005765261,0.00001934715,0.0001327597,0.00006716973,0.00008245135],"domain_scores_gemma":[0.9989925,0.0001619071,0.0001971015,0.0003182724,0.0001542914,0.0001758849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005714012,0.0001696412,0.9290185,0.0000301466,0.0001997002,0.0001804148,0.0003695711,0.03035454,0.01235747,0.00204799,0.002678791,0.02202183],"study_design_scores_gemma":[0.00003181538,0.0001294567,0.8509929,0.00001118287,0.00005937901,0.000196996,0.0003626215,0.131649,0.01215838,0.001615514,0.00274304,0.00004978569],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959747,0.00001879303,0.002024134,0.00002067388,0.000002685889,0.000004654567,0.0009967372,0.0001880979,0.000769457],"genre_scores_gemma":[0.9958651,0.000007882361,0.0007381369,0.000007353387,0.000003233024,0.000005032286,0.003103875,0.000033247,0.0002361822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007511666,"threshold_uncertainty_score":0.01493591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05691439141582483,"score_gpt":0.179392145646114,"score_spread":0.1224777542302892,"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."}}