{"id":"W4288049634","doi":"10.1103/physrevlett.128.081802","title":"Joint Measurement of the <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:mmultiscripts><mml:mrow><mml:mi mathvariant=\"normal\">U</mml:mi></mml:mrow><mml:mprescripts/><mml:none/><mml:mrow><mml:mn>235</mml:mn></mml:mrow></mml:mmultiscripts></mml:mrow></mml:math> Antineutrino Spectrum by PROSPECT and STEREO","year":2022,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Neutrino Physics Research","field":"Physics and Astronomy","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Lawrence Livermore National Laboratory; High Energy Physics; Institut National de Physique Nucléaire et de Physique des Particules; Office of Science; Canada First Research Excellence Fund; Max-Planck-Gesellschaft; Heising-Simons Foundation; Oak Ridge National Laboratory; Commissariat à l'Énergie Atomique et aux Énergies Alternatives; Illinois Institute of Technology; Agence Nationale de la Recherche; Natural Sciences and Engineering Research Council of Canada; Drexel University; Centre National de la Recherche Scientifique; National Institute of Standards and Technology; Yale University; Temple University; National Science Foundation; Brookhaven National Laboratory; U.S. Department of Energy","keywords":"Physics; Energy (signal processing); Gaussian; Joint (building); Algorithm; Computer science; Quantum mechanics","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":[0.002323959,0.001096283,0.0006674872,0.002822462,0.001010852,0.001773167,0.0009125989,0.0009472787,0.01968169],"category_scores_gemma":[0.002415036,0.0009310285,0.0009837371,0.001973232,0.0004618154,0.001729858,0.00176042,0.001203795,0.005415073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006857694,"about_ca_system_score_gemma":0.0007558308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00183527,"about_ca_topic_score_gemma":0.005152545,"domain_scores_codex":[0.9982744,0.0002483113,0.00004978628,0.0004499491,0.0007435611,0.0002339563],"domain_scores_gemma":[0.9977229,0.000351186,0.0003306363,0.000761,0.0005460294,0.0002881775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004317045,0.0008998829,0.1195747,0.0007164787,0.0008020045,0.001033103,0.00186716,0.006062519,0.5262665,0.0489215,0.06006937,0.2294698],"study_design_scores_gemma":[0.0003358799,0.0009725881,0.2637851,0.0001134171,0.0005162769,0.001356066,0.0005829227,0.04680071,0.5689371,0.01474063,0.1015015,0.0003579175],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4946991,0.0006019855,0.2607131,0.000663847,0.0005320946,0.0003881314,0.03366039,0.01739117,0.1913501],"genre_scores_gemma":[0.8985492,0.0002409571,0.07173455,0.0001951536,0.0001591396,0.000254827,0.01238313,0.003287695,0.01319543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01968169,"threshold_uncertainty_score":0.06584179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02527197230356444,"score_gpt":0.2538580498859422,"score_spread":0.2285860775823778,"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."}}