{"id":"W3198480638","doi":"10.1051/0004-6361/202142052","title":"Impact of survey geometry and super-sample covariance on future photometric galaxy surveys","year":2022,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Horizon 2020 Framework Programme; Ministerio de Ciencia, Innovación y Universidades; Agence Nationale de la Recherche; European Commission; Centre National d’Etudes Spatiales; McGill University; Canadian Institute for Advanced Research","keywords":"Sky; Galaxy; Covariance; Physics; Redshift survey; Redshift; Universe; Gaussian; Astrophysics; Gaussian random field; Statistics; Gaussian process; Mathematics","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":[0.02042837,0.0007183326,0.0007472304,0.0004785759,0.0006405981,0.001534973,0.001591084,0.001073433,0.001392544],"category_scores_gemma":[0.08725186,0.0006397869,0.0008559345,0.0007511636,0.001448395,0.003572813,0.001956992,0.001556821,0.0003868483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626999,"about_ca_system_score_gemma":0.001344979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01796464,"about_ca_topic_score_gemma":0.01771964,"domain_scores_codex":[0.9921144,0.00512165,0.0002886555,0.001205287,0.000954309,0.0003156031],"domain_scores_gemma":[0.9255896,0.05608128,0.004409001,0.01073162,0.002236913,0.0009515993],"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":[0.0005764099,0.00004885007,0.1491143,0.0001555345,0.0003005794,0.0004867076,0.000631977,0.7596545,0.005920182,0.0360027,0.002212787,0.04489559],"study_design_scores_gemma":[0.00005056739,0.0002011579,0.06416102,0.00009425787,0.000100169,0.0004993984,0.0002152935,0.898946,0.00599513,0.02550207,0.004139406,0.00009549154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5504559,0.001120493,0.4389931,0.002292141,0.0001340894,0.00007138646,0.001329778,0.001504804,0.004098424],"genre_scores_gemma":[0.939355,0.0002784222,0.05836357,0.0002946418,0.0000521603,0.00002344853,0.0007863433,0.0002688722,0.0005776299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02042837,"threshold_uncertainty_score":0.1080369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01104367014749343,"score_gpt":0.2233389110553053,"score_spread":0.2122952409078119,"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."}}