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Structure, Stability, and Transformation of Contaminated Lacustrine Surface Fine-Grained Laminae

2001· article· en· W2150241788 on OpenAlexaboutno aff
Ian G. Droppo, Carl L. Amos

Bibliographic record

VenueJournal of Sedimentary Research · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal wetland ecosystem dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyContaminationTransformation (genetics)Stability (learning theory)Surface (topology)GeochemistryMineralogyChemistryGeometryEcology

Abstract

fetched live from OpenAlex

Abstract An in situ annular flume (Sea Carousel) was deployed in Hamilton Harbour, Lake Ontario, to assess the structure, stability, and transformation of lacustrine surface fine-grained laminae (SFGL). Such laminae typify depositional lacustrine environments and occur at the sediment-water interface. The critical erosion thresholds, erosion rates, and internal friction coefficients were determined for natural undisturbed and physically disturbed sites in order to assess changes in bed stability. Sediment cores, taken at each site, were analyzed for bulk density using a CT scanner in order to provide an intercomparison of our results. Flocs and aggregates, pumped from the flume during erosion experiments, were analyzed for morphological characteristics using conventional optical microscopy and transmission electron microscopy to evaluate the mechanism and development of the SFGL and its structure. A general three-layer model is developed which depicts the organic flocs of the SFGL (Layer 1) compressing within a collapse zone (Layer 2) to form a consolidated bed (Layer 3). The SFGL was observed to be porous, of low density, and of high water content which possessed yield resistance due, in part, to binding by extracellular polymeric substances secreted by a colonized microbial population. Transmission electron microscopy observations showed an active biological community in the sediment promoting biostabilization. Time series of erosion thresholds and friction coefficients of the disturbed bed showed that the SFGL reconsolidated rapidly and increased in shear strength. The artificial disturbance of the sediment resulted in incorporation of the SFGL and the collapse zone with the consolidated bed through mixing. This stimulated the process of consolidation chiefly through removal of gas and breakdown of the organic fibril network. Reconsolidation began with the formation of a collapse zone at the surface of the disturbed sediment. High friction coefficients and an increasing density with depth in the new surface layer indicated that rapid consolidation occurred after disturbance.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.105
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.032
GPT teacher head0.292
Teacher spread0.260 · 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 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

Citations43
Published2001
Admission routes1
Has abstractyes

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