{"id":"W4221054107","doi":"10.1093/mnras/stac629","title":"High and low S\\'ersic index bulges in Milky Way- and M31-like galaxies: origin and connection to the bar with TNG50","year":2021,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fondo Nacional de Desarrollo Científico y Tecnológico; Agencia Estatal de Investigación; Comisión Nacional de Investigación Científica y Tecnológica; Gujarat Cancer Society; Universidad Nacional de La Plata; Consejo Nacional de Investigaciones Científicas y Técnicas; Ministerio de Ciencia e Innovación; Alberta Livestock and Meat Agency; Deutsche Forschungsgemeinschaft","keywords":"Physics; Bulge; Astrophysics; Galaxy; Milky Way; Star formation; Population; Surface brightness; Galaxy formation and evolution; Astronomy","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":[0.000316586,0.000244699,0.000247322,0.0004942259,0.0001961716,0.0006571255,0.0006108551,0.0004604689,0.0007229638],"category_scores_gemma":[0.001003048,0.0001577377,0.000380811,0.0004870758,0.0005331592,0.0002908591,0.0006568005,0.0002470978,0.000122915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00057437,"about_ca_system_score_gemma":0.0001922169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01166582,"about_ca_topic_score_gemma":0.01140017,"domain_scores_codex":[0.9998815,0.0000287507,0.000004949646,0.00003549195,0.0000107622,0.00003849507],"domain_scores_gemma":[0.9994867,0.0001324214,0.0001189407,0.00006187421,0.0000343449,0.0001657764],"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":[0.0004024632,0.0001540668,0.9149277,0.00001790415,0.0001011996,0.000276059,0.0002603887,0.07617503,0.003757909,0.001090747,0.0002160302,0.002620458],"study_design_scores_gemma":[0.00009409941,0.0002197695,0.7254124,0.00001175065,0.00005665654,0.000174337,0.0004521107,0.2708901,0.001647936,0.0007027608,0.000313209,0.00002478592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999808,0.000008850589,0.00004469153,0.000005010972,2.405241e-7,8.988711e-7,0.00003567489,0.000004604377,0.00009216153],"genre_scores_gemma":[0.9997033,0.000007485371,0.0000974845,0.00000243092,4.628634e-7,0.000001537738,0.0001360692,0.000002799203,0.00004821486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01166582,"threshold_uncertainty_score":0.02319586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01315216195442453,"score_gpt":0.1511894714639085,"score_spread":0.138037309509484,"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."}}