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Record W2903932832 · doi:10.3920/bm2018.0029

Multiple sclerosis and faecal microbiome transplantation: are you going to eat that?

2018· review· en· W2903932832 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

VenueBeneficial Microbes · 2018
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsWestern University
Fundersnot available
KeywordsMultiple sclerosisDysbiosisMicrobiomeImmune systemTransplantationImmunologyGut microbiomeDiseaseProbioticMedicineBiologyGut floraClinical trialBioinformaticsBacteriaInternal medicine

Abstract

fetched live from OpenAlex

Gut microbiome interaction goes beyond commensal function as vitamin production or support nutrients digestion. It also interplays with the host immune system and may be related to the development of immune-mediated diseases. Multiple sclerosis patients have dysbiosis compared to healthy individuals. But how this relates to disease development and severity is still uncertain. Dietary change including probiotic mixtures or ketogenic regimen has proven to change microbiome in multiple sclerosis (MS) subjects to one similar to healthy controls. However, proof of clinical benefits is lacking. We dissert on current knowledge about immune system and gut bacteria interactions. We discuss faecal microbial transplantation as a potential intervention to ameliorate gut dysbiosis in MS as well as the caveats of a clinical trial design.

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 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 score0.958
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.063
GPT teacher head0.296
Teacher spread0.233 · 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