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Record W2323880819 · doi:10.5150/jngcgc.2004.001-m

L’impact d’un couvert de glace sur la dynamique des niveaux et débits dans un estuaire méso tidal

2004· article· fr· W2323880819 on OpenAlexaff
Brian Morse, Benoîte Ringô

Bibliographic record

Venuenot available
Typearticle
Languagefr
FieldEarth and Planetary Sciences
TopicGeological formations and processes
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsForestryPhysicsGeography

Abstract

fetched live from OpenAlex

Cet article présente une modélisation numérique (1-D) à éléments finis de l'estuaire de la rivière Portneuf, Québec (profondeur moyenne de 3m et 5,9km de long).Les marnages de 1,8m (marées mortes) et de 3.0m (marées vives) sont amortis en présence d'un couvert de glace.Proche du barrage (5,6 km de l'embouchure) l'atténuation varie entre 17% et 37% respectivement.Les débits engendrés lors du flot (flux) par les marées mortes et vives sont typiquement 200m 3 /s et 500m 3 /s à l'embouchure.Lorsqu'il y a couvert de glace, ces valeurs sont atténuées de 30m 3 /s à 100m 3 /s respectivement, alors qu'au jusant, l'atténuation est d'environ 50m 3 /s indépendamment du marnage.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.338
Threshold uncertainty score0.671

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.232
Teacher spread0.219 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2004
Admission routes1
Has abstractyes

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