Session C6: The Eel Passage Research Centre - A Bi-National Collaborative
Bibliographic record
Abstract
Abstract:\nAmerican eel is among the many diadromous species that must contend with hydropower projects during migration between freshwater and marine habitats. Provision of upstream passage for juveniles is relatively straightforward and effective for this species; however, downstream passage of pre-reproductive adults presents a significant challenge, especially at large facilities on rivers with heavy debris loads. The Electric Power Research Institute (EPRI) organized and leads the Eel Passage Research Center (EPRC), a binational, long-term, collaboratively-funded research program to address this challenge. The research focus is on identifying and developing behavioral stimulus technologies to guide downstream migrating adult eels to collection points for capture and transfer around operating hydropower projects Research is guided by a 15-member technical committee comprising eel experts from hydropower companies and federal (US and Canadian), state, and provincial resource management agencies. The Center was formed in 2013, with initial funding through 2017. This presentation describes the scope and structure of the EPRC, our collaborative process for research funding and management, and our activities to date.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".