{"id":"W2972162150","doi":"10.1093/mnras/stz3189","title":"On the road to per cent accuracy – III. Non-linear reaction of the matter power spectrum to massive neutrinos","year":2019,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Cosmology and Gravitation Theories","field":"Physics and Astronomy","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Argonne National Laboratory; European Research Council; Max-Planck-Gesellschaft; University of Toronto; Bundesministerium für Bildung und Forschung; Government of Ontario; Alexander von Humboldt-Stiftung; Canada Foundation for Innovation; U.S. Department of Energy","keywords":"Physics; Neutrino; Halo; Dark matter; Matter power spectrum; Spectral density; Astrophysics; Cosmology; Galactic halo; Halo mass function; Cold dark matter; Dark matter halo; Particle physics; Statistics; Dark energy; Galaxy","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":[0.002866008,0.0008041445,0.0006230123,0.0004424666,0.0006485599,0.001194429,0.001785161,0.0008241864,0.003070245],"category_scores_gemma":[0.01266068,0.0004389194,0.0006110193,0.0003546907,0.001545438,0.001811735,0.001507486,0.001609723,0.0006871583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001026878,"about_ca_system_score_gemma":0.0007610096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01030611,"about_ca_topic_score_gemma":0.004231811,"domain_scores_codex":[0.9992369,0.0003515362,0.00002796783,0.00007389555,0.000198362,0.0001113318],"domain_scores_gemma":[0.9955965,0.002467317,0.0003563674,0.001166374,0.000316044,0.00009735559],"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":[0.000188613,0.00009813609,0.007537405,0.0001459562,0.00005424931,0.0001714051,0.0002340277,0.8847631,0.00704401,0.08862709,0.001137204,0.009998785],"study_design_scores_gemma":[0.00001225082,0.00001295644,0.0006298536,0.0000133397,0.000005416657,0.00001914571,0.00001797131,0.9796414,0.003611575,0.01552041,0.0005051403,0.00001052657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6442237,0.0008066266,0.2945557,0.001957681,0.0002390395,0.00007304397,0.0004346063,0.003019872,0.05468971],"genre_scores_gemma":[0.9788544,0.0001642898,0.01723013,0.0001729382,0.00003854775,0.00003055642,0.0001145586,0.0003651937,0.003029513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01030611,"threshold_uncertainty_score":0.02049226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004833978651053406,"score_gpt":0.2183724810784307,"score_spread":0.2135385024273773,"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."}}