{"id":"W2302117322","doi":"10.1093/mnras/stw2070","title":"Cosmology constraints from shear peak statistics in Dark Energy Survey Science Verification data","year":2016,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":160,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; SLAC National Accelerator Laboratory; Fermilab; Institut de Física d'Altes Energies; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Argonne National Laboratory; U.S. Department of Energy; European Commission; Science and Technology Facilities Council; University College London; Deutsche Forschungsgemeinschaft; University of Portsmouth; Ohio State University; Integrated Electronics Engineering Center, Binghamton University; University of Illinois at Urbana-Champaign; Financiadora de Estudos e Projetos; University of Sussex; Branco Weiss Fellowship – Society in Science; University of Pennsylvania; National Science Foundation; Compute Canada; University of Chicago","keywords":"Physics; Omega; Weak gravitational lensing; Redshift; Dark energy; Cosmology; Astrophysics; Galaxy; Sigma; Statistics; Quantum mechanics","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":[0.004341061,0.000568548,0.0005808729,0.000993,0.0005458366,0.001583652,0.0008013586,0.0005395554,0.002061512],"category_scores_gemma":[0.02201174,0.0004465946,0.0009329986,0.000969733,0.001181768,0.002070542,0.001182325,0.0007438931,0.0002969381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009062311,"about_ca_system_score_gemma":0.0007143949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01063935,"about_ca_topic_score_gemma":0.007881373,"domain_scores_codex":[0.9991269,0.0004034672,0.0000584938,0.0001858176,0.0001191253,0.0001062317],"domain_scores_gemma":[0.9869182,0.008542604,0.001487324,0.001727765,0.0005696459,0.0007544297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007826335,0.00008601735,0.5722156,0.0001144924,0.0003315102,0.0003282673,0.0004362002,0.3795214,0.005690754,0.0262887,0.002060996,0.01214348],"study_design_scores_gemma":[0.0001452389,0.0001459441,0.1636345,0.00005760266,0.00009114252,0.0001166254,0.0001979016,0.802316,0.005124518,0.02636869,0.001720063,0.00008182679],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897558,0.00008268171,0.007357649,0.0001729891,0.00000694112,0.00001160018,0.0005981607,0.000100682,0.00191347],"genre_scores_gemma":[0.9966426,0.00004538614,0.002257838,0.00003780577,0.00001017874,0.000009634207,0.0008188893,0.00006271985,0.0001150242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01063935,"threshold_uncertainty_score":0.02295804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01517312391509366,"score_gpt":0.2252569127705005,"score_spread":0.2100837888554068,"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."}}