{"id":"W4414145536","doi":"10.1093/mnras/staf1478","title":"Assessing subhalo finders in cosmological hydrodynamical simulations","year":2025,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"National Key Research and Development Program of China; Science and Technology Facilities Council; Higher Education Discipline Innovation Project; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Durham University; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; UK Research and Innovation; National Science Foundation","keywords":"Halo; Galaxy; Population; Satellite galaxy; Tracking (education); Local Group; Galaxy formation and evolution","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":[0.002542241,0.0006265983,0.0006842372,0.0007582808,0.0005328066,0.0009281252,0.001388972,0.001113796,0.001507584],"category_scores_gemma":[0.01231354,0.0003449087,0.0005842218,0.0005649608,0.0007244422,0.001005744,0.0009624303,0.001010749,0.0002260961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001150875,"about_ca_system_score_gemma":0.0008237047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01775998,"about_ca_topic_score_gemma":0.01544982,"domain_scores_codex":[0.999511,0.0001949684,0.00002665808,0.00008790018,0.0001013317,0.00007811364],"domain_scores_gemma":[0.9939631,0.003978791,0.0004564013,0.0005210636,0.0004871429,0.0005934836],"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":[0.0002245481,0.0001824353,0.0600104,0.00005670689,0.0001879581,0.00009037355,0.0002038055,0.9299936,0.001343617,0.002634278,0.001183588,0.003888687],"study_design_scores_gemma":[0.0000483106,0.00006127123,0.006186491,0.00001094611,0.00001996152,0.00001291214,0.00006169434,0.9917213,0.0006231183,0.0008235904,0.0004149132,0.00001538847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933957,0.00005884119,0.00324096,0.0002203007,0.00002207654,0.00002718301,0.0005604801,0.0003721052,0.002102328],"genre_scores_gemma":[0.9909865,0.00003788157,0.007206035,0.0001161508,0.00001377512,0.00004036366,0.001081928,0.0001529574,0.0003643647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01775998,"threshold_uncertainty_score":0.03531319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00938833752378176,"score_gpt":0.233912177197125,"score_spread":0.2245238396733432,"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."}}