{"id":"W4417207471","doi":"10.1103/fvgh-kswf","title":"Validation of the DESI DR2 <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"> <mml:mi>Ly</mml:mi> <mml:mi>α</mml:mi> </mml:math> BAO analysis using synthetic datasets","year":2025,"lang":"en","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo; University of Toronto","funders":"High Energy Physics; Division of Astronomical Sciences; Science and Technology Facilities Council; Horizon 2020 Framework Programme; Office of Science; Commissariat à l'Énergie Atomique et aux Énergies Alternatives; Generalitat de Catalunya; Ministerio de Ciencia e Innovación; U.S. Department of Energy; Beecroft-Cheltenham Civic Trust; National Energy Research Scientific Computing Center; Ministerio de Ciencia, Innovación y Universidades; Gordon and Betty Moore Foundation; Heising-Simons Foundation; Space Telescope Science Institute; Consejo Nacional de Ciencia y Tecnología; National Science Foundation","keywords":"Measure (data warehouse); Pattern recognition (psychology); Noise (video); Calibration; Field (mathematics)","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":[0.02361806,0.002145906,0.001288058,0.00288027,0.00168282,0.002929583,0.002593329,0.001748968,0.00900114],"category_scores_gemma":[0.04790619,0.0005634406,0.002287753,0.001950497,0.0009693598,0.001698509,0.001966981,0.001977599,0.005647511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001803912,"about_ca_system_score_gemma":0.003889016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01279767,"about_ca_topic_score_gemma":0.01548544,"domain_scores_codex":[0.9921605,0.003992607,0.000393946,0.002005933,0.001067266,0.000379714],"domain_scores_gemma":[0.9789022,0.01372509,0.0006057791,0.003032144,0.003125085,0.0006097907],"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":[0.006367287,0.001339825,0.1091625,0.002003892,0.003898086,0.0004721156,0.0003615833,0.2156165,0.01204685,0.01105306,0.3976023,0.2400759],"study_design_scores_gemma":[0.001010184,0.0008337142,0.03136045,0.0002485049,0.0004643156,0.0004135176,0.000497758,0.8975549,0.02224857,0.007538114,0.03771144,0.0001185837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.54591,0.004700819,0.1599928,0.008422588,0.002412025,0.001497354,0.1889189,0.0608885,0.02725691],"genre_scores_gemma":[0.532106,0.0005794943,0.1786037,0.001765792,0.0002936398,0.00102789,0.2711356,0.004384123,0.01010373],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02361806,"threshold_uncertainty_score":0.1249057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01260180359093282,"score_gpt":0.3260561866649748,"score_spread":0.3134543830740419,"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."}}