{"id":"W4391983213","doi":"10.1103/physrevd.109.043527","title":"Small-correlated-against-large estimator for the lensing of the cosmic microwave background","year":2024,"lang":"en","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Cosmology and Gravitation Theories","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Aeronautics and Space Administration; Government of Ontario; University of Toronto; Connaught Fund; Canada Foundation for Innovation; U.S. Department of Energy","keywords":"Cosmic microwave background; Astrophysics; Estimator; Physics; COSMIC cancer database; Astronomy; Statistics; Mathematics; Optics; Anisotropy","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":[0.003054857,0.0007277511,0.0004077503,0.0008735204,0.0002963422,0.0006674118,0.001067176,0.0005479058,0.001839721],"category_scores_gemma":[0.01822065,0.000274663,0.0004217303,0.0006387749,0.0009806855,0.00111741,0.001035145,0.0009199906,0.0005116569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005596434,"about_ca_system_score_gemma":0.001020973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002072664,"about_ca_topic_score_gemma":0.002982968,"domain_scores_codex":[0.9989115,0.0005201606,0.00003919754,0.0001845008,0.0002818944,0.00006285081],"domain_scores_gemma":[0.9943559,0.003660272,0.0005315365,0.0008021755,0.0004962527,0.0001539129],"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":[0.0005524606,0.0001236543,0.03860558,0.0004206361,0.0004177809,0.0002945751,0.000182191,0.3944256,0.03715057,0.2439837,0.006323699,0.2775195],"study_design_scores_gemma":[0.00001525252,0.00004127725,0.00548998,0.00002395384,0.00001934111,0.0001205007,0.00002114726,0.9585971,0.006323048,0.02714439,0.00217267,0.0000313559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02291536,0.0003513778,0.9747813,0.000149804,0.00003249842,0.00002797409,0.0001920572,0.0003656069,0.00118398],"genre_scores_gemma":[0.5549631,0.0006924997,0.4391867,0.0002299432,0.0001969961,0.0001301109,0.001128667,0.0003160326,0.00315593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003054857,"threshold_uncertainty_score":0.01615584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0237418812809367,"score_gpt":0.3971039514480176,"score_spread":0.3733620701670809,"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."}}