{"id":"W4386067770","doi":"10.1103/physrevd.108.032018","title":"High-statistics measurement of antineutrino quasielasticlike scattering at <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:msub><mml:mrow><mml:mi>E</mml:mi></mml:mrow><mml:mrow><mml:mover accent=\"true\"><mml:mrow><mml:mi>ν</mml:mi></mml:mrow><mml:mrow><mml:mo stretchy=\"false\">¯</mml:mo></mml:mrow></mml:mover></mml:mrow></mml:msub></mml:mrow></mml:math> 6 GeV on a hydrocarbon target","year":2023,"lang":"lv","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Neutrino Physics Research","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Fondo Nacional de Desarrollo Científico y Tecnológico; Fermilab; High Energy Physics; Comisión Nacional de Investigación Científica y Tecnológica; Office of Science; Pontificia Universidad Católica del Perú; Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica; University of Rochester; Science and Technology Facilities Council; Narodowe Centrum Nauki; Dirección de Gestión de la Investigación, Universidad de Antofagasta; Conselho Nacional de Desenvolvimento Científico e Tecnológico; National Science Foundation; Consejo Nacional de Ciencia y Tecnología; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; U.S. Department of Energy","keywords":"Physics; Muon; Neutrino; Particle physics; Energy (signal processing); Nuclear physics; Scattering; Quantum mechanics","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":[0.00062472,0.0003728111,0.0001984349,0.0004922454,0.000387827,0.0004877416,0.0003997424,0.0003685766,0.003359395],"category_scores_gemma":[0.0007322552,0.000237823,0.0001485202,0.000652551,0.000347716,0.0004608604,0.0003886762,0.0003562051,0.0005278114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004172977,"about_ca_system_score_gemma":0.000216101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001919218,"about_ca_topic_score_gemma":0.004525793,"domain_scores_codex":[0.9996152,0.00008279768,0.00001473284,0.000066746,0.0001415059,0.00007897115],"domain_scores_gemma":[0.9988367,0.0004794068,0.0002188505,0.0001209102,0.0002230982,0.0001209675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002058119,0.0005149179,0.1027315,0.0001161423,0.0002149582,0.00114241,0.0003416548,0.008735455,0.8679851,0.005385326,0.001923553,0.008850807],"study_design_scores_gemma":[0.00005557492,0.001087064,0.2263305,0.0000120949,0.00006658588,0.0005102279,0.0002275234,0.04031919,0.7289988,0.0007717988,0.001539968,0.00008058859],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863276,0.00006900532,0.005797363,0.000100915,0.00001136974,0.00001111661,0.0007958424,0.0002199761,0.006666758],"genre_scores_gemma":[0.9976221,0.00002688809,0.0008186796,0.00001086524,0.000005294741,0.000005491459,0.0004754978,0.00001363329,0.001021593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003359395,"threshold_uncertainty_score":0.01123834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02420565312421796,"score_gpt":0.3108897697091538,"score_spread":0.2866841165849359,"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."}}