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Record W7082259409 · doi:10.17632/65dnysxym8.1

Mutation calls by SMM-Seq of MutaMouse male liver exposed to Benzo(B)Fluoranthene for 28 days

2025· dataset· en· W7082259409 on OpenAlexaff

Bibliographic record

VenueMendeley Data · 2025
Typedataset
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsUniversity of OttawaHealth Canada
Fundersnot available
KeywordsMutationGermlineGermline mutationDNA sequencingAllele frequencyGene

Abstract

fetched live from OpenAlex

MutaMouse males were exposed to five doses of Benzo(B)Fluoranthene (BbF) alongside vehicle controls by oral gavage for 28 days with a 3 day sampling time. Random whole-genome sequencing of liver DNA was performed using MutagenTech's SMM-Seq. Each sample was sequenced to roughly 200Mb. Data is single-nucleotide variants identified by SMM-Seq for 24 mouse liver samples. Variants identified by SMM-seq were contrasted against the single-nucleotide polymorphisms database (dbSNP) to remove known mouse variants. Additionally, germline variants were excluded through conventional whole-genome sequencing of matched samples at 20X depth. Mutation frequency (number of mutations divided by total read depth) is significantly increased by BbF at the top two doses compared to control. BbF increases proportions of C>A subtypes compared to control.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.073
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0050.003
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 head0.040
GPT teacher head0.276
Teacher spread0.235 · 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 designNot applicable
Domainnot available
GenreDataset

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

Citations0
Published2025
Admission routes1
Has abstractyes

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