{"id":"W2896014958","doi":"10.1103/physrevd.99.023506","title":"Lensing covariance on cut sky and <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:mi>SPT</mml:mi><mml:mtext>−</mml:mtext><mml:mi>P</mml:mi><mml:mi>l</mml:mi><mml:mi>a</mml:mi><mml:mi>n</mml:mi><mml:mi>c</mml:mi><mml:mi>k</mml:mi></mml:mrow></mml:math> lensing tensions","year":2019,"lang":"lv","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Cosmology and Gravitation Theories","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics","funders":"Kavli Foundation; University of Chicago; Simons Foundation; National Aeronautics and Space Administration; U.S. Department of Energy; National Science Foundation","keywords":"Cosmic microwave background; Physics; Planck; Weak gravitational lensing; Astrophysics; Covariance; Sigma; Gravitational lens; South Pole Telescope; Strong gravitational lensing; Dark energy; Cosmology; Gravitational lensing formalism; Galaxy; Redshift; Statistics; Optics; Astronomy; 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":[0.002658599,0.0006273016,0.0007478708,0.001113622,0.0004530453,0.001434487,0.0008273575,0.0004300222,0.01632226],"category_scores_gemma":[0.01359526,0.0003894928,0.00100159,0.001717602,0.0008581934,0.001265576,0.0009150935,0.0009140192,0.002125737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001188445,"about_ca_system_score_gemma":0.001121762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009616634,"about_ca_topic_score_gemma":0.008692146,"domain_scores_codex":[0.9977213,0.0004784432,0.0001513335,0.0007156698,0.0007277945,0.000205583],"domain_scores_gemma":[0.9859436,0.004123238,0.002156274,0.006048221,0.001391283,0.0003374158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001184647,0.0002248682,0.5460709,0.0003987589,0.001448498,0.0007128756,0.0007009458,0.07378099,0.04446608,0.1803893,0.01750792,0.1331142],"study_design_scores_gemma":[0.00008389947,0.0003694458,0.7852809,0.00007911463,0.0003368558,0.0005270334,0.0002690006,0.109431,0.04554764,0.03922572,0.01870232,0.000147064],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8729659,0.0002870567,0.08126394,0.0004020632,0.00004558952,0.0001268816,0.01558243,0.0009466049,0.02837963],"genre_scores_gemma":[0.9677705,0.0002140178,0.01183922,0.00008317962,0.00003540211,0.0001244076,0.01609891,0.0003248499,0.003509514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01632226,"threshold_uncertainty_score":0.0546034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01772016459715788,"score_gpt":0.3068943313790912,"score_spread":0.2891741667819333,"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."}}