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Record W105489819

The effect of sulphate on selenium bioaccumulation in two freshwater primary producers and a primary consumer

2014· article· en· W105489819 on OpenAlexfundno aff
Bonnie P. Lo

Bibliographic record

VenueSummit (Simon Fraser University) · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Toxicology and Ecotoxicology
Canadian institutionsnot available
FundersSimon Fraser UniversitySan Diego State University
KeywordsBioaccumulationSeleniumPrimary (astronomy)Primary producersEnvironmental scienceBusinessNatural resource economicsChemistryEnvironmental chemistryEconomicsNutrient
DOInot available

Abstract

fetched live from OpenAlex

Site-specific conditions (e.g. presence of sulphate), may be linked to the variability in the uptake of selenium in organisms at the base of a food chain, potentially affecting the risk of adverse effects in higher trophic-level organisms. In this project, the effect of sulphate on selenate bioaccumulation in two primary producers (Lemna minor and Pseudokirchneriella subcapitata) and a primary consumer (Daphnia magna) was explored. When exposed to selenate, all three species exhibited a decrease in selenium tissue concentration with increasing sulphate. When D. magna were exposed to sulphate and dietary selenium, sulphate did not affect selenium tissue concentrations. The results were used to develop equations estimating selenium tissue concentrations when exposed to selenate and sulphate. The strong predictive ability of the equations suggests that selenate, sulphate, and dietary selenium (applicable to D. magna) are important for describing the relationship between selenate and selenium tissue concentrations.

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)0.000
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 score0.280
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.006
GPT teacher head0.201
Teacher spread0.195 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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