First instrumented line of the Pacific Ocean Neutrino Experiment: status, development and outlook.
Bibliographic record
Abstract
The Pacific Ocean Neutrino Experiment (P-ONE) is a planned water-based Cherenkov neutrino telescope that will be located off the west coast of Canada. P-ONE will observe high-energy astrophysical neutrinos, aiming to identify the sources where they are produced, and will allow long-term in-situ studies of bioluminescence in the Cascadia Basin. The detector will be composed of instrumented mooring lines, which, along with the existing deep-sea infrastructure of the NEPTUNE observatory, make the design easily scalable. The first phase of the experiment, called P-ONE-1, is the first complete detector line and is instrumented with 20 modules spanning one kilometer. P-ONE-1 will serve as a test for all the newly developed systems and infrastructure and will pave the way for the future phases. This contribution will give an overview of the current status of the construction of the first line, the expected performance and the recent design innovations.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.006 |
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".