{"id":"W2956779455","doi":"10.3847/1538-4365/ab510c","title":"CosmoDC2: A Synthetic Sky Catalog for Dark Energy Science with LSST","year":2019,"lang":"en","type":"article","venue":"The Astrophysical Journal Supplement Series","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":119,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Jet Propulsion Laboratory; Argonne National Laboratory; Partenariat Canadien Contre Le Cancer; Aspen Center for Physics; National Aeronautics and Space Administration; California Institute of Technology; W. M. Keck Foundation; U.S. Department of Energy; National Science Foundation","keywords":"Large Synoptic Survey Telescope; Dark energy; Galaxy; Redshift; Sky; Weak gravitational lensing; Photometric redshift; Halo","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003270613,0.000880905,0.0005590871,0.003688436,0.0006389365,0.001610348,0.001910883,0.0005422315,0.01039083],"category_scores_gemma":[0.00904389,0.0006020691,0.0009152898,0.004448513,0.0003821301,0.00104899,0.001829908,0.0007403271,0.004833571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008781616,"about_ca_system_score_gemma":0.001931993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01094422,"about_ca_topic_score_gemma":0.009852256,"domain_scores_codex":[0.9990308,0.0003080141,0.0000643251,0.0001727794,0.000349433,0.00007464932],"domain_scores_gemma":[0.9946891,0.0008633156,0.0003389585,0.002437048,0.001105387,0.000566153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001593722,0.0005079182,0.1289894,0.0005928444,0.0005048853,0.0007422803,0.000391754,0.1794893,0.006656284,0.0337668,0.4886147,0.1581502],"study_design_scores_gemma":[0.0009885274,0.000219346,0.05323082,0.00009920236,0.00008496183,0.0003579825,0.0002023406,0.5907363,0.01204247,0.02347121,0.3183922,0.0001745961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1342617,0.0003376067,0.2567173,0.0005984136,0.0003123899,0.001658733,0.501651,0.08625195,0.01821094],"genre_scores_gemma":[0.1756308,0.0001219696,0.2016241,0.0001550128,0.00009634908,0.00119259,0.6124129,0.00600875,0.002757599],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01094422,"threshold_uncertainty_score":0.03476083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004592444199078908,"score_gpt":0.2033416890480159,"score_spread":0.1987492448489369,"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."}}