{"id":"W4405254970","doi":"10.1088/1475-7516/2025/05/015","title":"The Atacama Cosmology Telescope: semi-analytic covariance matrices for the DR6 CMB power spectra","year":2025,"lang":"en","type":"article","venue":"Journal of Cosmology and Astroparticle Physics","topic":"Astronomy and Astrophysical Research","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Standards and Technology; Agencia Nacional de Investigación y Desarrollo; Science and Technology Facilities Council; National Research Foundation; University of Toronto; Flatiron Health; National Energy Research Scientific Computing Center; UK Research and Innovation; National Science Foundation; Compute Canada; National Aeronautics and Space Administration; University of Pennsylvania; Princeton University; Government of Ontario","keywords":"Cosmic microwave background; Physics; Covariance; Cosmology; Astrophysics; Spectral line; Spectral density; Telescope; Power (physics); Astronomy; Mathematics; Optics; Quantum mechanics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005518834,0.0001861394,0.0003665424,0.00003417517,0.0006580405,0.0001162223,0.0004779496,0.00003914031,0.00002587115],"category_scores_gemma":[0.00005324721,0.0001087081,0.0002282179,0.0002676191,0.0005585431,0.0001715809,0.000123272,0.0005287061,0.000009491168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002621669,"about_ca_system_score_gemma":0.0002324522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001184411,"about_ca_topic_score_gemma":9.33263e-7,"domain_scores_codex":[0.9985172,0.0001216026,0.0004702515,0.000194043,0.0001770089,0.000519859],"domain_scores_gemma":[0.9973413,0.001696815,0.000341036,0.0002685243,0.000249953,0.0001023512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001503329,0.0005637488,0.05378506,0.00001829809,0.001667403,0.000009837028,0.0001787228,0.002137438,0.005220332,0.6800745,0.008160025,0.2466813],"study_design_scores_gemma":[0.009237044,0.003104564,0.08348953,0.0002033462,0.001563356,0.0000434164,0.004375175,0.01371934,0.07090865,0.763195,0.04934046,0.0008201701],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4280293,0.0006884783,0.5656797,0.004785453,0.000298918,0.0002929622,0.00002145444,0.000006474927,0.0001972783],"genre_scores_gemma":[0.9978903,0.00002436532,0.001114409,0.0001292655,0.0005014775,0.00002512192,0.000001735963,0.0000111185,0.0003022],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.569861,"threshold_uncertainty_score":0.5061182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048962907465414,"score_gpt":0.2972022697458117,"score_spread":0.2867126406711576,"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."}}