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Record W2129560693

63. Hydrological and Biological Event Based Variability in the Fine-Grained Sediment Structure of a Small Undisturbed Catchment

2005· article· en· W2129560693 on OpenAlexaboutno aff
Jennifer L. McConnachie, Ellen L. Petticrew

Bibliographic record

VenueTunnelling and Underground Space Technology · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSedimentEnvironmental scienceHydrology (agriculture)SnowmeltSampling (signal processing)SettlingSpring (device)STREAMSOrganic matterGeologySnowEcologyGeomorphologyGeotechnical engineeringBiologyEnvironmental engineering
DOInot available

Abstract

fetched live from OpenAlex

In 2001 a study in an undisturbed, highly productive salmon bearing stream (O'Ne-eil Creek) was undertaken in the northern interior of British Columbia, Canada. The aim was to determine if the structure and settling characteristics of the aggregated sediments varied significantly over the different hydrological and biological regimes of an open-water season. Sampling regimes included the hydro- logical conditions of the rising limb of spring freshet, falling limb flows of snowmelt and summer rainstorms, while biological conditions included sampling during spawning and die-back of 13 580 sockeye salmon. A negative relationship between shear stress and effective particle size diameter, D50 is evident for the hydrological regimes, while the largest floes occur when live and dead salmon are present in the stream. Increased organic matter quality and biological resuspension of gravel-stored material attributed to spawning salmon, reflect their physical and chemical influence on the change in size and density of aggregated fine sediment in this stream system.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.180
Threshold uncertainty score0.434

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.217
Teacher spread0.206 · 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.

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

Citations2
Published2005
Admission routes1
Has abstractyes

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