Pathfinders of the Pacific Ocean Neutrino Experiment
Bibliographic record
Abstract
The Pacific Ocean Neutrino Experiment (P-ONE) is a proposed neutrino telescope located off the coast of Vancouver Island, Canada. With a planned instrumented volume of over one cubic kilometer, P-ONE aims to measure high-energy neutrinos to gain further insights into astrophysical accelerators and the cosmos. However, the dynamic ocean environment presents challenges, such as changing ocean currents influencing the detector geometry and the bioluminescent light background. The P-ONE collaboration, in association with Ocean Networks Canada (ONC), is developing durable deep-sea detector systems to overcome these challenges. In 2018 and 2020, respectively, the pathfinder experiments STRAW (STRings for Absorption length in Water) and STRAW-b were deployed to characterize and monitor the optical properties and the background light caused by bioluminescence and $^{40}$K in the Cascadia Basin. These pathfinders include three strings with diverse instruments such as spectrometers, LiDARs, cameras, and early prototype optical modules. An overview of recent findings from the STRAW and STRAW-b measurements will be presented.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".