{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01368263,0.000762748,0.0005530005,0.002062289,0.0006337391,0.002843757,0.0008878835,0.000811852,0.003001738],"category_scores_gemma":[0.03265544,0.0003665681,0.001233384,0.002807406,0.001042322,0.001117326,0.001242322,0.000992278,0.0009557788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001321328,"about_ca_system_score_gemma":0.000925604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01914943,"about_ca_topic_score_gemma":0.02251787,"domain_scores_codex":[0.9942316,0.002828017,0.0003186581,0.001076559,0.001154322,0.0003909091],"domain_scores_gemma":[0.9702305,0.0107405,0.005252371,0.01000129,0.002985678,0.0007896693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002363532,0.0001119865,0.8111393,0.000234514,0.003076298,0.0003287737,0.0005093176,0.04088987,0.003775644,0.02979416,0.05912247,0.04865416],"study_design_scores_gemma":[0.0001973913,0.0002125013,0.8434675,0.0001406508,0.0007548094,0.0004998491,0.0004494671,0.05646714,0.01115457,0.03071375,0.05569232,0.0002500429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7957892,0.002392559,0.08642291,0.003259017,0.0005420918,0.0001233212,0.06966284,0.003578357,0.03822967],"genre_scores_gemma":[0.9661623,0.00009945543,0.009721987,0.000551843,0.00005818294,0.00004441538,0.02137915,0.0006586024,0.00132397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01914943,"threshold_uncertainty_score":0.07236153,"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."}}