{"id":"W2773439512","doi":"10.1093/mnras/sty2017","title":"Multiwavelength scaling relations in galaxy groups: a detailed comparison of GAMA and KiDS observations to BAHAMAS simulations","year":2018,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"European Research Council; Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; Smithsonian Astrophysical Observatory; Goddard Space Flight Center; Smithsonian Institution; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Alexander von Humboldt-Stiftung; Deutsche Forschungsgemeinschaft; National Aeronautics and Space Administration","keywords":"Physics; Astrophysics; Galaxy; Weak gravitational lensing; ROSAT; Gravitational lens; Scaling; Halo; Local Group; Galaxy group; Galaxy formation and evolution; Stellar mass; Astronomy; Milky Way; Star formation; Redshift","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007490655,0.0004293409,0.0006842914,0.0008509338,0.0006289075,0.001275669,0.00135846,0.0008839344,0.002473576],"category_scores_gemma":[0.003548115,0.0004190626,0.0009340076,0.0007093462,0.0005580189,0.0008606521,0.0008441021,0.0006228013,0.0002016053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001909445,"about_ca_system_score_gemma":0.0006494781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08487237,"about_ca_topic_score_gemma":0.03239165,"domain_scores_codex":[0.9997773,0.00007015826,0.00001284435,0.0000604772,0.00002766544,0.0000516285],"domain_scores_gemma":[0.9989159,0.0005291515,0.0001298602,0.0001440896,0.00010718,0.0001737895],"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":[0.0002058037,0.0001932732,0.1362159,0.00006292854,0.0002820289,0.0003726392,0.0006716021,0.8475412,0.002070644,0.006976748,0.0016585,0.003748707],"study_design_scores_gemma":[0.00007218966,0.0000351871,0.03904025,0.0000142085,0.00004231413,0.00003880631,0.000155783,0.9579462,0.0003418932,0.001527615,0.0007570381,0.00002860513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956916,0.00008370237,0.0007010205,0.0002289224,0.000008843621,0.0000105777,0.0007696782,0.00008978746,0.002415983],"genre_scores_gemma":[0.998135,0.00004959429,0.0007260768,0.00004662539,0.00001038492,0.00001698418,0.0007295588,0.00004758319,0.0002382131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08487237,"threshold_uncertainty_score":0.1687567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01625155638511551,"score_gpt":0.238529471612521,"score_spread":0.2222779152274055,"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."}}