{"id":"W2157246770","doi":"10.1086/319105","title":"Fast Cosmic Microwave Background Analyses via Correlation Functions","year":2001,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Cosmology and Gravitation Theories","field":"Physics and Astronomy","cited_by":148,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; University of Toronto","funders":"","keywords":"Physics; Cosmic microwave background; Monte Carlo method; Estimator; Algorithm; Multipole expansion; Cosmic background radiation; Covariance matrix; Weighting; Noise (video); Optics; Anisotropy; Statistics; Mathematics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001101785,0.0001274649,0.0001452112,0.00004568513,0.0006192688,0.00009788244,0.0001602736,0.00002324417,0.000500051],"category_scores_gemma":[0.000003743372,0.00008614786,0.0001799807,0.0002143921,0.0001792467,0.0001842096,0.00003149692,0.0004383409,0.0004721363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002218339,"about_ca_system_score_gemma":0.00003516387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002243142,"about_ca_topic_score_gemma":0.000001666795,"domain_scores_codex":[0.9991732,0.0001471917,0.0002088652,0.0001146728,0.0001371659,0.0002189454],"domain_scores_gemma":[0.9993567,0.0001445612,0.0001535522,0.0001577465,0.0001078139,0.00007964821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008121923,0.001021022,0.07011867,0.000003799541,0.001410823,0.00003698556,0.001491095,0.01415712,0.2476399,0.31575,0.01102192,0.3365364],"study_design_scores_gemma":[0.00112606,0.0002704375,0.1485242,0.00001879054,0.00034659,0.0002080691,0.00305837,0.001313533,0.001567908,0.8411792,0.002070702,0.0003161435],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4203011,0.00001624052,0.5782971,0.0004321008,0.0002258927,0.00003899771,0.000005688899,0.000009415357,0.000673476],"genre_scores_gemma":[0.9960902,8.572651e-7,0.001213263,0.00008301427,0.001116069,0.00000490613,0.00002789611,0.00001047453,0.001453259],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5770838,"threshold_uncertainty_score":0.6068515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02166281651294748,"score_gpt":0.2867558752166499,"score_spread":0.2650930587037024,"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."}}