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Record W2118370100 · doi:10.1002/etc.5620190709

Chronic toxicity of energetic compounds in soil determined using the earthworm (<i>Eisenia andrei</i>) reproduction test

2000· article· en· W2118370100 on OpenAlexaff
Pierre Yves Robidoux, Claus Svendsen, Jean Caumartin, Jalal Hawari, Guy Ampleman, Sonia Thiboutot, Jason M. Weeks, Geoffrey I. Sunahara

Bibliographic record

VenueEnvironmental Toxicology and Chemistry · 2000
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Toxicology and Ecotoxicology
Canadian institutionsBiotechnology Research Institute
Fundersnot available
KeywordsEisenia andreiEarthwormEcotoxicologyReproductionEisenia fetidaToxicologyToxicityOligochaeta (plant)Animal scienceBiomass (ecology)BiologySoil waterSoil contaminationJuvenileEnvironmental chemistryChemistryEcology

Abstract

fetched live from OpenAlex

Abstract Earthworm survival tests are commonly used in terrestrial ecotoxicology to assess the toxicity of compounds in soil. Earthworm (Eisenia andrei) reproduction tests were used to assess the sublethal and chronic effects of 2,4,6-trinitrotoluene (TNT) and 1,3,5-trinitro-1,3,5,7-triazacyclohexane (RDX). Effects on reproduction parameters (total number of cocoons, number of hatched cocoons, number of juveniles, juvenile biomass, and hatchability) were measured in TNT- and RDX-spiked artificial soil. For TNT, the lowest-observed-effect concentration (LOEC) was 110 mg/kg dry soil, and the no-observed-effect concentration (NOEC) was 55 mg/kg. For the RDX-spiked soil, the LOEC was 95 mg/kg dry soil, and the NOEC was &amp;lt;95 mg/kg. The growth of adult worms was also reduced when exposed to TNT-spiked soil at the highest tested concentration (881 mg/kg dry soil). Taken together, data analysis showed that the number of juveniles was strongly correlated with the number of cocoons but poorly correlated with the growth of adults. This information could permit one to optimize the application of the Eisenia sp. reproduction assay when used as a sublethal effect assessment tool for TNT- or RDX-contaminated soils.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.067
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 studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0130.000

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 spread0.194 · 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 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

Citations118
Published2000
Admission routes1
Has abstractyes

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