{"id":"W4225160916","doi":"10.1093/mnras/stac1191","title":"NIHAO – XXVIII. Collateral effects of AGN on dark matter concentration and stellar kinematics","year":2022,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Horizon 2020 Framework Programme; New York University Abu Dhabi","keywords":"Physics; Astrophysics; Galaxy; Dark matter; Dark matter halo; Halo; Galaxy formation and evolution; Star formation; Galaxy rotation curve; Active galactic nucleus; Astronomy","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":[0.0005807982,0.0003465246,0.0004672407,0.0003475746,0.0003660455,0.0009722771,0.0006901921,0.0005142073,0.003008486],"category_scores_gemma":[0.002454143,0.0001804847,0.0004748647,0.0003749752,0.0005813434,0.0004495686,0.0006993869,0.0005386462,0.0002739498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006553265,"about_ca_system_score_gemma":0.0004413526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007551557,"about_ca_topic_score_gemma":0.004964183,"domain_scores_codex":[0.9997928,0.0000598457,0.00001196006,0.00003866037,0.00005225284,0.00004469396],"domain_scores_gemma":[0.9988214,0.0005478013,0.0001514163,0.0001702069,0.0001751271,0.0001339692],"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":[0.0002865567,0.0002673469,0.08000281,0.0001387255,0.0001767746,0.0003013114,0.0001676432,0.8914341,0.01007176,0.005546672,0.002901922,0.008704352],"study_design_scores_gemma":[0.00007613706,0.0001468768,0.02809976,0.00002006231,0.00003661834,0.00008114478,0.00009615746,0.9631699,0.003870509,0.002080896,0.002299908,0.00002210213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852033,0.0001254932,0.002761337,0.0002680617,0.00005342794,0.00001808717,0.0008442972,0.000304052,0.01042192],"genre_scores_gemma":[0.9964792,0.00004023475,0.001916613,0.00005947734,0.00001079318,0.0000155212,0.0005323632,0.00005804783,0.0008877291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007551557,"threshold_uncertainty_score":0.01501518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003539719782631776,"score_gpt":0.1793655930001665,"score_spread":0.1758258732175347,"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."}}