{"id":"W4296367355","doi":"10.3847/1538-4357/ac86c7","title":"On the Robustness of the Velocity Anisotropy Parameter in Probing the Stellar Kinematics in Milky Way–Like Galaxies: Takeaway from TNG50 Simulation","year":2022,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; University of Toronto","funders":"Harvard University","keywords":"Physics; Milky Way; Galaxy; Kinematics; Anisotropy; Stellar kinematics; Astrophysics; Robustness (evolution); Astronomy; Classical mechanics; Optics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003655629,0.0006375062,0.0007536595,0.000911013,0.000782127,0.001314471,0.001583628,0.001279748,0.0008713756],"category_scores_gemma":[0.01137724,0.0003359679,0.001514804,0.0007391276,0.001095949,0.0007426038,0.0009168993,0.001097687,0.0001648258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008965164,"about_ca_system_score_gemma":0.0005899706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03641321,"about_ca_topic_score_gemma":0.01804848,"domain_scores_codex":[0.9991832,0.0004055301,0.00003344713,0.0001589109,0.00007500054,0.0001437885],"domain_scores_gemma":[0.9917935,0.005238669,0.0004586736,0.001179281,0.0005933968,0.0007366014],"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":[0.001091044,0.0003508279,0.2947708,0.0001134923,0.00102464,0.0003749529,0.0002928406,0.6841593,0.005026933,0.003059457,0.003811053,0.005924542],"study_design_scores_gemma":[0.0002061814,0.0001366505,0.05511356,0.00003511435,0.0001812466,0.00005372103,0.0001825492,0.940479,0.001752382,0.001169872,0.0006442391,0.00004552849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969864,0.0001665581,0.001158342,0.0002311237,0.00002584337,0.000009505033,0.0004421601,0.0001927341,0.0007872454],"genre_scores_gemma":[0.9973571,0.00004698339,0.001064021,0.0001220115,0.0000141592,0.00001120283,0.001183949,0.00008540206,0.0001152133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03641321,"threshold_uncertainty_score":0.07240254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01852804547914508,"score_gpt":0.2272561689954012,"score_spread":0.2087281235162561,"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."}}