{"id":"W4410294088","doi":"10.1051/0004-6361/202452592","title":"KiDS-Legacy: Covariance validation and the unified OneCovariance framework for projected large-scale structure observables","year":2025,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Max-Planck-Gesellschaft; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Bundesministerium für Bildung und Forschung; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; European Commission; Deutsche Forschungsgemeinschaft; Canadian Space Agency; UK Research and Innovation; University of Portsmouth; Alexander von Humboldt-Stiftung; Austrian Science Fund; Science and Technology Facilities Council; Indian Council of Agricultural Research; Imperial College London; National Science Foundation","keywords":"Physics; Observable; Covariance; Astrophysics; Scale (ratio); Galaxy; Astronomy; Statistical physics; 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":[0.007939508,0.001248124,0.000974287,0.002064189,0.00094162,0.00239757,0.003394484,0.0007842204,0.005256433],"category_scores_gemma":[0.03974137,0.0007962658,0.001865227,0.001746767,0.001017257,0.00216244,0.00336983,0.002669297,0.002317202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008980737,"about_ca_system_score_gemma":0.003879889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01816462,"about_ca_topic_score_gemma":0.02113389,"domain_scores_codex":[0.9976934,0.0008981586,0.0001370297,0.0003675459,0.0007620602,0.0001418319],"domain_scores_gemma":[0.9901058,0.004272531,0.0008346718,0.002963382,0.001574531,0.0002490863],"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":[0.0001682881,0.0001903198,0.04329411,0.0004030979,0.0006601337,0.0004132563,0.0008017103,0.387886,0.004585016,0.2944552,0.03725146,0.2298915],"study_design_scores_gemma":[0.00003232064,0.00004019643,0.004746088,0.00007500463,0.00002311944,0.0001419832,0.0000901099,0.8776595,0.002991135,0.09450389,0.01961525,0.00008139238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003424654,0.00003917279,0.9903733,0.00004631,0.00002720699,0.00003633161,0.001107971,0.004180921,0.0007641717],"genre_scores_gemma":[0.1009505,0.0001120344,0.8849789,0.00016708,0.00006760557,0.0004313937,0.007301364,0.004504913,0.001486225],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01816462,"threshold_uncertainty_score":0.04198861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005406678177264332,"score_gpt":0.1955054583580196,"score_spread":0.1900987801807553,"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."}}