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Formaldehyde toxicity is altered by calcium and organic matter

2005· article· en· W2055370356 on OpenAlexaff
Thomas Meinelt, Michael Pietrock, Kent Burnison, Christian E. W. Steinberg

Bibliographic record

VenueJournal of Applied Ichthyology · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Toxicology and Ecotoxicology
Canadian institutionsEnvironment and Climate Change Canada
FundersLeibniz-GemeinschaftLeibniz-Institut für Gewässerökologie und Binnenfischerei
KeywordsFormaldehydeToxicityBiologyCalciumAcute toxicityOrganic matterEnvironmental chemistryToxicologyBiochemistryChemistryEcologyOrganic chemistry

Abstract

fetched live from OpenAlex

Formaldehyde is one of the shortlist substances permitted for use in aquaculture. Toxicity of formaldehyde and therapeutical success is influenced by water parameters. However, there is a lack of information on the interaction of organic carbon and calcium (Ca2+) on the toxicity of formaldehyde. Laboratory experiments were conducted to test the combined effects of Ca2+ and natural organic matter (NOM) on formaldehyde toxicity. Zebrafish embryos were exposed to five concentrations of formaldehyde for 144 h. Juveniles exposed to high concentrations died; the embryos exposed to low concentrations were unable to hatch, particularly visible in the groups without NOM. The toxicity-reducing effects of NOM are not attributable to the presence of Ca2+.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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)0.0010.000

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 head0.214
Teacher spread0.208 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations21
Published2005
Admission routes1
Has abstractyes

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