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Record W2207188478

Session C6: The Eel Ladders at Beauharnois Power Station, Canada

2015· article· en· W2207188478 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueScholarWorks@UMassAmherst (University of Massachusetts Amherst) · 2015
Typearticle
Languageen
FieldEngineering
TopicPower Line Inspection Robots
Canadian institutionsnot available
Fundersnot available
KeywordsSession (web analytics)Power (physics)TelecommunicationsComputer scienceWorld Wide Web
DOInot available

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.210
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.012
GPT teacher head0.183
Teacher spread0.171 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it