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Record W2148454982 · doi:10.1177/1091581813504229

Toxicological Assessment of Refined Naphthenic Acids in a Repeated Dose/Developmental Toxicity Screening Test

2013· article· en· W2148454982 on OpenAlexfundno aff
Richard H. McKee, Colin M. North, Paula Podhasky, Jeffrey Charlap, Adam Kuhl

Bibliographic record

VenueInternational Journal of Toxicology · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicMicrobial bioremediation and biosurfactants
Canadian institutionsnot available
FundersUniversity of Alberta
KeywordsToxicityDevelopmental toxicityOffspringPhysiologyMicronucleus testReproductive toxicityToxicologyMicronucleusBiologyGenotoxicityIn vivoPharmacologyPregnancyInternal medicineFetusMedicineBiotechnology

Abstract

fetched live from OpenAlex

Naphthenic acids (NAs) are primarily cycloaliphatic carboxylic acids with 10 to 16 carbons. To characterize the potential of refined NAs (>70% purity) to cause reproductive and/or developmental effects, Sprague-Dawley rats (12/group) were given oral doses of 100, 300, or 900 mg/kg/d, beginning 14 days prior to mating, then an additional 14 days for males or through lactation day 3 for females (up to 53 days) in a repeated dose/reproductive toxicity test (Organization for Economic Cooperation and Development [OECD] 422). Potential mutagenic effects were assessed using Salmonella (OECD 471) and in in vivo micronucleus tests (OECD 474) using bone marrow taken from treated animals in the screening study described previously. Systemic effects included reduced terminal body weights, increased liver weights, and changes in a number of blood cell parameters. The overall no effect level for all target organ effects was 100 mg/kg/d. In the reproductive/developmental toxicity assessment, there were significant reductions in numbers of live born offspring in groups exposed to 300 and 900 mg/kg/d. The overall no effect level for developmental effects was 100 mg/kg/d. The data from the Salmonella and micronucleus tests provide evidence that refined NAs are not genotoxic.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.607
Threshold uncertainty score0.991

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.000

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 head0.018
GPT teacher head0.286
Teacher spread0.268 · 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

Citations7
Published2013
Admission routes1
Has abstractyes

Explore more

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