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Record W7115708726 · doi:10.25976/fks3-hm76

Mackenzie River delta water quality, 2004.

2025· dataset· en· W7115708726 on OpenAlexaboutno aff

Bibliographic record

VenueDataStream · 2025
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsFloodplainDeltaRiver deltaHydrology (agriculture)Water qualityArcticLeveePermafrost

Abstract

fetched live from OpenAlex

The Mackenzie River Delta effects water quality program investigated the influence of delta floodplain lakes on the water quality of Mackenzie River water as it passed through its delta before delivery to the Arctic Ocean. Through the summer of 2004, we monitored a representative subset of delta floodplain lakes for general water quality, carbon, and nutrient patterns along with three delta-wide helicopter surveys of Mackenzie River delta channel water quality. We found that floodplain lakes sequestered suspended sediment and inorganic nutrients while enriching river water with organic matter before discharge offshore. This research was funded by the Natural Sciences and Engineering Research Council of Canada, with support from the Canada Research Chair Program, Polar Continental Shelf Project, and the Northern Scientific Training Program. We appreciate technical and logistical support from the Inuvik Research Center/Aurora Research Institute, Indigenous and Northern Affairs Canada, and Water Survey of Canada. Publication DOI: 10.1029/2006GB002856 (Mackenzie River nutrient delivery to the Arctic Ocean and effects of the Mackenzie Delta during open water conditions)

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.036
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0030.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.044

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 head0.028
GPT teacher head0.329
Teacher spread0.301 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2025
Admission routes1
Has abstractyes

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