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Record W2746961021 · doi:10.1128/msystems.00006-17

Moderate Exercise Has Limited but Distinguishable Effects on the Mouse Microbiome

2017· article· en· W2746961021 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuemSystems · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsDalhousie University
Fundersnot available
KeywordsLachnospiraceaeMicrobiomeBeta diversityGut floraBacteroidesBiologyExercise physiologyPhysiologyInternal medicineEndocrinologyImmunologyEcologyMedicineBacteriaBioinformaticsFirmicutesBiodiversityGenetics

Abstract

fetched live from OpenAlex

The bacteria that live in our gut have a complex yet vital relationship with our health. Environmental factors that influence the gut microbiome are of great interest, as recent research demonstrates that these microbes, mostly bacteria, are important for normal host physiology. Diseases such as obesity, diabetes, inflammatory bowel disease, and colon cancer have also been linked to shifts in the microbiome. Exercise is known to have beneficial effects on these diseases; however, much less is known about its direct impact on the gut microbiome. Our results illustrate that exercise has a moderate but measurable effect on gut microbial communities in mice. These methods can be used to provide important insight into other factors affecting the microbiome and our health.

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.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.724

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 studies0.0010.000
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 head0.024
GPT teacher head0.251
Teacher spread0.227 · 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