Bibliographic record
Abstract
Solar neutrino experiments have resolved the long-standing puzzle of the missing neutrinos by the discovery of neutrino oscillations. This chapter presents a brief review of future experiments on solar neutrinos, indicating in particular their potential and the scale of time. These projects include the sudbury neutrino observatory+ at Sudbury, Canada; the Jiangmen Underground Neutrino Observatory (JUNO) project in south of China; the Low Energy Neutrino Astrophysics (LENA) collaboration at Pyhsalmi mine in Finland; the water Cherenkov Hyper-Kamiokande detector; and the deep underground neutrino experiment (DUNE) at Illinois and South Dakota in the United States. The JUNO project consists of new underground laboratory at a depth of about 700 m. The LENA collaboration involves the construction of a deep underground liquid scintillator detector with a total mass of about 50 kt. The DUNE is a next-generation project for neutrino physics and proton decay.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.038 | 0.018 |
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".