{"id":"W3173079094","doi":"10.1103/physrevd.105.023514","title":"Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to data calibration","year":2022,"lang":"en","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":425,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"SLAC National Accelerator Laboratory; Integrated Electronics Engineering Center, Binghamton University; European Regional Development Fund; Science and Technology Facilities Council; European Research Council; Seventh Framework Programme; Office of Science; National Centre for Supercomputing Applications; Institut de Física d'Altes Energies; Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas; Conselho Nacional de Desenvolvimento Científico e Tecnológico; European Commission; Ministerio de Ciencia e Innovación; Generalitat de Catalunya; University of Illinois at Urbana-Champaign; Lawrence Berkeley National Laboratory; University of Pennsylvania; Financiadora de Estudos e Projetos; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Center for Cosmology and Astroparticle Physics, Ohio State University; University of Sussex; Ministério da Ciência, Tecnologia e Inovação; University College London; National Aeronautics and Space Administration; Higher Education Funding Council for England; University of Portsmouth; Texas A and M University; University of Chicago; Ohio State University; High Energy Physics; Deutsche Forschungsgemeinschaft; Argonne National Laboratory; Centres de Recerca de Catalunya; U.S. Department of Energy; Fermilab; National Science Foundation","keywords":"Physics; Cosmic microwave background; Redshift; Astrophysics; Dark energy; Galaxy; Cosmology; Planck; Omega; COSMIC cancer database; Photometric redshift; Sigma; Redshift survey; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001069633,0.0005223877,0.001403264,0.00006609874,0.0004080657,0.00007244387,0.001168236,0.00002656215,0.0001669728],"category_scores_gemma":[0.0004228918,0.000491812,0.000216447,0.0011872,0.0001331638,0.0006074762,0.001375669,0.0005100083,0.0001567862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001412327,"about_ca_system_score_gemma":0.0002092988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001337784,"about_ca_topic_score_gemma":0.00002804909,"domain_scores_codex":[0.9950417,0.001424987,0.0009905834,0.001183763,0.0007631407,0.0005957977],"domain_scores_gemma":[0.996317,0.0007064386,0.0005142608,0.001829968,0.0002282099,0.000404097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003259655,0.003012524,0.4369007,0.001973173,0.000573362,8.873859e-7,0.0004912922,0.0006767342,0.001279486,0.05237627,0.4868234,0.01556624],"study_design_scores_gemma":[0.002067361,0.0006659189,0.7665139,0.002508348,0.0009761674,0.00000525257,0.0001075396,0.04773781,0.0002494613,0.05046966,0.1264614,0.002237186],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817345,0.008331709,0.0009863932,0.001984027,0.0002526555,0.001273145,0.004848988,0.00009504353,0.0004935138],"genre_scores_gemma":[0.980684,0.005077962,0.0002608427,0.0005365342,0.0007994373,0.0004276195,0.01206477,0.00007398084,0.00007488016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.360362,"threshold_uncertainty_score":0.9997534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02509323497621846,"score_gpt":0.3543914231146681,"score_spread":0.3292981881384497,"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."}}