{"id":"W4388184317","doi":"10.48550/arxiv.2310.20000","title":"Cosmological simulations of mixed ultralight dark matter","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Dark Matter and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; Leverhulme Trust; Innovation, Science and Economic Development Canada; Canadian Institute for Advanced Research; University of Toronto; National Aeronautics and Space Administration","keywords":"Physics; Dark matter; Cold dark matter; Cosmology; Scalar field dark matter; Hot dark matter; Dark fluid; Matter wave; Matter power spectrum; Halo; Dark matter halo; Halo mass function; Astrophysics; Mixed dark matter; Wavelength; Dark energy; Quantum mechanics; Galaxy; Quantum","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":[0.000365965,0.0003841748,0.0004103751,0.0004724604,0.0004943942,0.0005011138,0.001048255,0.0008699836,0.002851136],"category_scores_gemma":[0.001730764,0.0002995395,0.000550168,0.0006006168,0.0005225515,0.0004769333,0.0007805586,0.0008993521,0.0001366633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007316017,"about_ca_system_score_gemma":0.0006710325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0158739,"about_ca_topic_score_gemma":0.009811249,"domain_scores_codex":[0.9998736,0.00004417132,0.000005449576,0.00001777831,0.00002426793,0.0000346395],"domain_scores_gemma":[0.9991381,0.0004435878,0.0001128201,0.00005831767,0.0001089039,0.0001382551],"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":[0.0002232497,0.0002044357,0.01002801,0.00005947796,0.0001027828,0.0002473446,0.0001972106,0.9622341,0.003604584,0.01997036,0.0009414941,0.002186921],"study_design_scores_gemma":[0.0000365636,0.00002773645,0.001200436,0.000003807385,0.000008854876,0.00001208483,0.00003360741,0.9966167,0.0005376635,0.001246735,0.0002698654,0.000006082206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912362,0.00009312334,0.003306367,0.0002306795,0.00002337028,0.0000173256,0.0003841424,0.0001149474,0.004593713],"genre_scores_gemma":[0.9927561,0.0000803998,0.005257534,0.0000783312,0.00001047685,0.00004098087,0.0005726913,0.00004970143,0.001153891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0158739,"threshold_uncertainty_score":0.03156304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06631252892758387,"score_gpt":0.2002853890319098,"score_spread":0.1339728601043259,"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."}}