Development of monitoring and control strategies for biofouling and sedimentation for the Pacific Ocean Neutrino Experiment
Bibliographic record
Abstract
The Pacific Ocean Neutrino Experiment (P-ONE) is a new neutrino telescope that is currently under construction in the North Pacific Ocean. The future location of the detector is the Cascadia Basin, a flat 2660 m deep region of ocean off the coast of Vancouver Island, Canada. P-ONE will be made up of one kilometre long strings of optical instrumentation. The collaboration is currently working towards the assembly and deployment of the first string. A pathfinder instrument took data at the P-ONE site from August 2018 until July 2023. Data from the pathfinder shows that upwards facing instruments lost some transparency over its 5 year lifetime. This is attributed to the deposition of marine sediments and subsequent colonization by biological organisms, collectively referred to as biofouling. Pathfinder results concerning biofouling will be discussed in this contribution. In addition, we will discuss the usage of surface modifying coatings for biofouling mitigation on future P-ONE instruments. The inclusion of this technology is novel for neutrino telescopes and a candidate coating will be tested in-situ on the first string.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".