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Record W2129712677 · doi:10.7202/032799ar

Sedimentation in Expedition Fiord, Axel Heiberg Island, Northwest Territories

2007· article· en· W2129712677 on OpenAlexfundvenueaboutno aff
Robert G. Gilbert

Bibliographic record

VenueGéographie physique et Quaternaire · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaTrent University
KeywordsFjordGeologySedimentSedimentationDeltaArcticOceanographyGeomorphologyRiver deltaHydrology (agriculture)Geotechnical engineering

Abstract

fetched live from OpenAlex

Expedition River which drains 1079 km2 of glaciated landscape on eastern Axel Heiberg Island is advancing 8.7 m/a (averaged since 1959) into Expedition Fiord. This rate is the highest reported in the Canadian Arctic. Bed material is deposited in the fiord by sediment gravity flows down the foreset beds of the delta. Fresh water forms a well-defined overflow on the sea which is not significantly mixed at least 15 km from the river. However, fine-grained suspended sediment (maximum measured concentration 2.24 g/L) flocculates and settles from suspension soon after entering the fiord. As a result, the sea floor near the delta is thickly mantled with rapidly accumulating deposits of very underconsolidated. fine-grained sediment. Beyond 3 km from the delta modern sediment is restricted to a thin cover with isolated pockets of thicker accumulation in depressions.

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)0.001
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 score0.057
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.007
GPT teacher head0.244
Teacher spread0.237 · 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

Citations10
Published2007
Admission routes3
Has abstractyes

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