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Record W2156455994 · doi:10.1139/f00-053

Effect of aluminum and silicic acid on the behaviour of the freshwater snail<i>Lymnaea stagnalis</i>

2000· article· en· W2156455994 on OpenAlexvenueno aff
Morag M. Campbell, K.N. White, Ravin Jugdaohsingh, Jonathan J. Powell, Catherine R. McCrohan

Bibliographic record

VenueCanadian Journal of Fisheries and Aquatic Sciences · 2000
Typearticle
Languageen
FieldEnvironmental Science
TopicHeavy metals in environment
Canadian institutionsnot available
FundersBiotechnology and Biological Sciences Research CouncilWellcome Trust
KeywordsLymnaea stagnalisSnailSilicic acidToxicityLymnaeaChemistryFreshwater snailEnvironmental chemistryAluminiumAnimal scienceNuclear chemistryBiologyEcology

Abstract

fetched live from OpenAlex

A major factor influencing the toxicity of Al at neutral pH is the presence of complexing ligands. This study compared the effect of exposure to aluminum nitrate, aluminum lactate, and aluminum maltol, in the presence or absence of monomeric silica (Si), on the behaviour of the pond snail Lymnaea stagnalis. Concentrations of Al and Si used were similar to those found in the natural environment. Soluble Al concentration in the water fell significantly with time over 48 h following addition as the nitrate or lactate (500 μg·L -1 ), presumably owing to polymerisation as the colloidal hydroxide. This loss was enhanced by the presence of snails or Si (Al:Si = 1:15). Aluminum maltol largely remained in solution. Snails exposed to all three Al compounds showed depression of behavioural activity after 7 days; this effect was ameliorated in the presence of higher (Al:Si = 1:15) but not lower (Al:Si = 1:1) concentrations of Si. Depression of feeding behaviour occurred with all three Al compounds, although it was delayed in the presence of aluminum maltol. Expression of conditioned feeding was inhibited in snails exposed to aluminum nitrate during training and testing. The behavioural changes are likely to be mirrored in the field, with adverse consequences for the "fitness" of natural populations.

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 categoriesScience and technology studies, Insufficient 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 score0.203
Threshold uncertainty score1.000

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 studies0.0000.003
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 head0.009
GPT teacher head0.201
Teacher spread0.192 · 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

Citations29
Published2000
Admission routes1
Has abstractyes

Explore more

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