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Measurement of the branching ratio of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mi mathvariant="normal">N</mml:mi> <mml:mprescripts/> <mml:none/> <mml:mn>16</mml:mn> </mml:mmultiscripts> </mml:math> , <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mi mathvariant="normal">C</mml:mi> <mml:mprescripts/> <mml:none/> <mml:mn>15</mml:mn> </mml:mmultiscripts> </mml:math> , <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mi mathvariant="normal">B</mml:mi> <mml:mprescripts/> <mml:none/> <mml:mn>12</mml:mn> </mml:mmultiscripts> </mml:math> , and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mi mathvariant="normal">B</mml:mi> <mml:mprescripts/> <mml:none/> <mml:mn>13</mml:mn> </mml:mmultiscripts> </mml:math> isotopes through the nuclear muon capture reaction in the Super-Kamiokande detector
K. Abe, Shinya Abe, Y. Asaoka, Masayuki Harada, Y. Hayato, K Hosokawa, K. Ieki, J. Kameda, Yonehiro Kanemura, Y Kataoka, S. Miki, S. Mine, M. Miura, S Moriyama, M. Nakahata, S Nakayama, Y Noguchi, K. Satô, H. Sekiya, K Shimizu, R Shinoda, Y. Suzuki, Hirotaka Tanaka, T. Yano, T. Kajita, Ryo Nishijima, K Okumura, T Tashiro, Tomoaki Tomiya, X. Wang, L. Labarga, D Samudio, B. Zaldivar, C. Yanagisawa, E. Kearns, J. Mirabito, L. Wan, T. Wester, J. G. Bian, Bruna Cortez, Y. Jiang, A. Yankelevich, J. Hill, S. H. Lee, B. Bodur, K Scholberg, A Beauchêne, O. Drapier, A. Ershova, P. Paganini, Caroline Quach, T. Nakamura, K. Choi, Nadege Iovine, S. Cao, D. Martin, Y Uchida, N. Ospina, E Radicioni, A Langella, G. De Rosa, G Collazuol, M Feltre, M. Mattiazzi, L Ludovici, M. Gonin, Lorenzo Périssé, B Quilain, Satoshi Horiuchi, Aníbal Kawabata, M. Kobayashi, Y. Nishimura, R Okazaki, R. Akutsu, M. Friend, T. Hasegawa, Y. Hino, T. Ishida, T. Kobayashi, M Jakkapu, T Matsubara, T Nakadaira, Y Oyama, A Portocarrero Yrey, K Sakashita, T Sekiguchi, T Tsukamoto, N Bhuiyan, R. Kralik, N Latham, F. Di Lodovico, J. Gao, Teruo Sone, Yusuke Takagi, Y. Takeuchi, S Wada, Hao Zhong, Junfeng Feng, Yufeng Li, S. Han, J Hikida, R. A. Wendell, M Kawaue, T. Nakaya, N. McCauley, H. Menjo, Y Yoshioka, J. Łagoda, M Mandal, J Zalipska, M. Mori, Meng Jia, Jack J. Jiang, Koichi Hamaguchi, H. Ishino, T. Tano, T. Ishizuka, G. Barr, L. Cook, S. Samani, D. Wark, A. Holin, F. Nova, L. Kneale, M. Malek, T Peacock, P Stowell, I. Yu, E. Kwon, I. Yu, K. Nakamura, S Tairafune, A. Eguchi, Shun Goto, Hana Hayasaki, S. Kodama, Yasufumi Masaki, Y. Mizuno, Takayuki Muro, K Nakagiri, N Taniuchi, M Yokoyama, P de Perio, S. Fujita, C. Jesús-Valls, Ll Marti, S Izumiyama, M. Kuze, Risa Matsumoto, Kentaro Terada, Ryoichi Asaka, A. Hourlier, Mitsuru Sugo, M Wako, K. Yamauchi, Tsukasa Yoshida, Y. Nakano, F Cormier, R. Gaur, V. Gousy-Leblanc, A. Konaka, X. Li, Y. Wu, M Girgus, M. Posiadała-Zezula, D. Hadley, Martin Nicholson, M O'Flaherty, B Richards, A. Ali, B. Jamieson, S. Amanai, C. Bronner, D Horiguchi, A. Minamino, Yuka Sasaki, R Shimamura
Bibliographic record
VenuePhysical review. C · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNeutrino Physics Research
Canadian institutionsnot available
FundersHorizon 2020Japan Atomic Energy AgencyJapan Society for the Promotion of ScienceScience and Technology Facilities CouncilMinisterstwo Edukacji i NaukiNatural Sciences and Engineering Research Council of CanadaNarodowe Centrum NaukiNational Natural Science Foundation of ChinaInstitute for Basic ScienceIstituto Nazionale di Fisica Nucleare Sezione di PadovaNational Research Foundation of KoreaU.S. Department of EnergyMinistry of EducationMinistry of Education, Culture, Sports, Science and TechnologyNextGenerationEUNational Science Foundation
KeywordsMuonBranching fractionNeutrinoSolar neutrinoBranching (polymer chemistry)DetectorIsotopeMuon capture
Abstract
International audience
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.082
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.025 | 0.008 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Opus teacher head0.024
GPT teacher head0.262
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".
Quick stats
Citations3
Published2025
Admission routes1
Has abstractyes