Session C6: The Eel Ladders at Beauharnois Power Station, Canada
Bibliographic record
Abstract
Abstract:\nThe first anthropogenic obstacle encountered by juvenile American eel (Anguilla rostrata) in the St. Lawrence River (Canada) during their upstream migration from the Sargasso Sea, is a large hydro dam. The facility is located at Beauharnois, downstream of Lake Ontario, the largest and final growth habitat of this river system. Following preliminary tests from 1994 to 2001, the dam was equipped with a first eel ladder in 2002 on the left bank followed by a second on the right bank in 2004. Eel counts dropped from 1994 to 1998, and then increased from 1998 to 2011. In 2012 and 2013 a sharp decline of numbers was observed while 2014 presents some hope for a return to higher numbers. A strong inverse relationship (r²= 0.83) was observed between annual counts and mean annual length. In addition, an annual age-length key developed using otolith readings from 2004, 2009, 2011 and 2013 allows us to assign an age to every length-class recorded during these years. In 2004, we observed an age structure distributed from age-1 to age-21, where 83.9 % of specimens were within age-3 and age-6, and a mean age of 5.2 years (s.e. = 2.2). In 2009, the mean age had decreased to 4.1 years (s.e. = 1.8) while the age distribution had narrowed to between age-2 and age-11, with 80.0% of the specimens between 2 and 5 years old, in 2011 the mean age was 4, 4 (age-2 to age 13) and 4,8 in 2013 (age-2 to age-10). This later result reflects the decline of arrival of young eels at the Beauharnois ladders in 2012 and 2013.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.183 | 0.031 |
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".