Bibliographic record
Abstract
T2K is an experiment designed to observe neutrino oscillations with a baseline of 295 km across Japan from Tokai to Kamioka. Its main goal is to measure oscillation parameters ($\theta_{23}$, $\Delta m^{2}_{32}$ and $\theta_{13}$) through $\nu_\mu$ ($\overline{\nu}_{\mu}$) disappearance and $\nu_e$ ($\overline{\nu}_e$) appearance. T2K reported the first measurement of a non-zero $\theta_{13}$ mixing angle and the most precise measurement of $\theta_{23}$. T2K also published recently its first result in the search for CP violation in neutrino oscillations combining appearance and disappearance channels for $\nu/\overline{\nu}$ beam. With reactor measurements, the CP conservation hypothesis is excluded at 90 \% C.L. For precision measurements of neutrino oscillation, it is crucial to understand neutrino-nucleus interaction at few-GeV including nuclear effects. To achieve this, T2K published neutrino-nucleus cross-section measurements of various interaction channels at T2K off-axis (ND280) and on-axis (INGRID) near detectors. T2K has made measurements of the $\nu_\mu$ charged-current interaction without pions in the final state (CC0$\pi$) and with a single pion (CC1$\pi^+$) on carbon and oxygen. A new measurement of protons out of CC0$\pi$ interactions (CC0$\pi$Np), is expected to provide complementary precision for better understanding of nuclear effects. In this paper, the latest oscillation and cross-section results using $14.7\times10^{20}$ of $\nu$-mode and $7.56\times10^{20}$ protons-on-target (POT) of $\overline{\nu}$-mode data accumulated before June 2016 are reported.
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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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.011 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.036 | 0.029 |
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.
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.
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".