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Record W2302481468 · doi:10.2495/sd150301

The impact of Gouin Reservoir management on the ecohydrological drought characteristics of streamflow in the Saint-Maurice River (Quebec, Canada)

2015· book-chapter· en· W2302481468 on OpenAlexaffabout
Raphaëlle Landry, Ali A. Assani

Bibliographic record

VenueWIT transactions on the built environment · 2015
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicHydrology and Watershed Management Studies
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsWatershedHydrology (agriculture)Environmental scienceStreamflowHabitatMagnitude (astronomy)Mode (computer interface)GeographyDrainage basinGeologyEcologyGeotechnical engineering

Abstract

fetched live from OpenAlex

We analyzed the impacts of the Gouin Reservoir, built on the Saint-Maurice River, in Quebec, on the magnitude and frequency of ecohydrological drought. Magnitude values, calculated as the difference between measured low flow and the ecological compensation flow, have increased significantly over time as a result of decreasing amounts of snow, while frequency has not changed significantly over time. The study suggests that a new mode of dam management is required for the Gouin Reservoir to ensure the preservation of fish habitats downstream from the reservoir, and that mode must take into account the decreasing amount of snow in the watershed.

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.743
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.212
Teacher spread0.192 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2015
Admission routes2
Has abstractyes

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