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Record W2226507254 · doi:10.1002/bies.201500116

Has provoking microbiota aggression driven the obesity epidemic?

2016· review· en· W2226507254 on OpenAlex
Benoît Chassaing, Andrew T. Gewirtz

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

VenueBioEssays · 2016
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsInstitute of Infection and Immunity
FundersCrohn's and Colitis Foundation
KeywordsAggressionMicrobiomeObesityDiseaseBiologyGut floraImmunologyBioinformaticsMedicineInternal medicinePsychiatryEndocrinology

Abstract

fetched live from OpenAlex

Alterations in the gut microbiome have increasingly been implicated in driving obesity and its associated diseases, but underlying mechanisms remain poorly defined. Herein, in addition to reviewing the field, we hypothesize that a highly significant causative factor of such inflammatory disease-associated microbiome alterations is a more aggressive microbiota that encroaches upon its host, with components having high potential to activate host pro-inflammatory gene expression in a manner that drives metabolic disease. We further hypothesize that a range of societal changes, including use of antibiotics and increasing consumption of food additives, have provoked such microbiota aggression and, consequently, may be contributing factors to the increased incidence of obesity and its associated diseases.

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)0.001
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.859
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.000
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 head0.060
GPT teacher head0.340
Teacher spread0.281 · 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