Bibliographic record
Abstract
We report the results of a joint analysis of neutrino and antineutrino oscillations at T2K with the disappearance and appearance channels. The disappearance channel is primarily sensitive to sin 2 2 θ 23 and the mass splitting , while ν μ → ν e is sensitive to sin 2 θ 23 and sin 2 2 θ 13 , with the CP violating phase δ CP and matter effects inducing asymmetries in the oscillation probabilities between the CP conjugate channels. Since the Neutrino 2016 conference, a small increment of data has been added to the analysis, so that the accumulated protons-on-target are 7.48 × 10 20 in ν -mode and 7.47 × 10 20 in mode. The data continue to favor maximal mixing in θ 23 with a 1 σ confidence interval of [0.464, 0.578] for sin 2 θ 23 , while the large ν e appearance observed in the data favors δ CP ∼ − π /2 with a 90% confidence interval of [-3.13, -0.39] in normal hierarchy and [-2.09, -0.74] in inverted hierarchy. We comment briefly on the future prospects for T2K, including a proposal for extended running to accumulate 20 × 10 21 protons-on-target, nearly three times the currently approved amount by 2026, to gain substantial sensitivity to CP violating effects in oscillations if parameters are favorable.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.005 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".