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Record W2030556582 · doi:10.1139/f01-104

Influence of sediment biofilm on the behaviour of aluminum and its bioavailability to the snail <i>Lymnaea stagnalis</i> in neutral freshwater

2001· article· en· W2030556582 on OpenAlexvenueno aff
Simon Ballance, Patrick J. Phillips, Catherine R. McCrohan, Jonathan J. Powell, Ravin Jugdaohsingh, K.N. White

Bibliographic record

VenueCanadian Journal of Fisheries and Aquatic Sciences · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicHeavy metals in environment
Canadian institutionsnot available
FundersEuropean Social FundBiotechnology and Biological Sciences Research Council
KeywordsLymnaea stagnalisBiofilmBioavailabilitySnailEnvironmental chemistrySedimentWater columnExtracellular polymeric substanceMicrocosmChemistryFreshwater snailBiologyEcologyBacteria

Abstract

fetched live from OpenAlex

An important influence on the behaviour, bioavailability, and toxicity of Al in neutral freshwater is its ability to form complexes with organic material such as humic acids and extracellular polymeric substances (EPS). This paper examines the influence of EPS, secreted by a natural bacterial biofilm associated with a pebble substrate ("sediment biofilm") and by the snail Lymnaea stagnalis, on the behaviour of Al in the water column and its bioavailability to the snail. Both sediment biofilm and snails were a significant source of aqueous EPS. Added Al stimulated the production of EPS by the snail but not by bacterial biofilm. Repeated elevation of the concentration of Al in the water by 500 µg Al·L –1 but not 100 µg Al·L –1 over 10 days resulted in a progressive rise of Al in the water column in the absence but not in the presence of sediment biofilm. Up to 150 µg Al·cm –2 was associated with the sediment biofilm, and we suggest that sediment is a significant "sink" for aqueous Al. EPS avidly binds colloidal Al, and we propose that the sediment biofilm is an important influence on the behaviour and bioavailability of Al in running waters when amounts of humic substances are low.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.992

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 studies0.0000.001
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 head0.019
GPT teacher head0.219
Teacher spread0.199 · 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

Citations16
Published2001
Admission routes1
Has abstractyes

Explore more

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