Bibliographic record
Abstract
SNO+ is a multipurpose neutrino experiment located approximately 2~km underground at SNOLAB, near Sudbury, Canada. The experiment takes a phased approach, transitioning through a water phase and an ultra-pure scintillator phase before loading the liquid scintillator with 0.5 \% natural Tellurium, which corresponds to approximately 1330 kg of $^{130}$Te. Water phase began in May 2017 resulting in a number of fundamental physics measurements including: a limit on invisible nucleon decay and a measurement of the $^{8}$Be solar neutrino flux. Scintillator fill began in November 2018 and Tellurium loading is planned for late 2019. During the loaded scintillator phase SNO+ will search for the neutrinoless double-beta decay of $^{130}$Te with an expected effective Majorana neutrino mass sensitivity which will probe the boundary of the inverted mass hierarchy. Additionally, SNO+ aims to measure reactor antineutrino oscillations, low-energy solar neutrinos, geo-neutrinos, to be sensitive to supernova neutrinos, and to search for exotic physics.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".