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Record W3048687745 · doi:10.29173/hsi295

The gut-brain axis and microbial therapeutics

2020· article· en· W3048687745 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueHealth Science Inquiry · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsQueen's University
Fundersnot available
KeywordsAnxietyMood disordersDepression (economics)PsychiatryGut–brain axisMoodMedicineFecal bacteriotherapyGut floraPsychologyImmunologyBiology

Abstract

fetched live from OpenAlex

Given the vast personal and economic burdens of psychiatric disorders, specifically mood and anxiety disorders, finding appropriate treatments for all those affected is critical. Due to the various presentations of psychiatric indications, no one treatment method is efficacious in all patients. Thus, a more personalized, but feasible treatment method is necessary for properly treating and preventing these disorders from becoming refractory and more burdensome. In recent years, there has been a growing appreciation for research in the field of the “gut-brain axis” (GBA), specifically as a target for psychiatric disorders. Researchers have found the gut to be influenced not only by similar determinants to that of psychiatric indications, but also highly modifiable using GBA treatments such as probiotics and fecal microbiota transplant (FMT). This is compelling evidence for the use of the GBA as a target for disorders such as depression and anxiety and for development of personalized treatment methods.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.938
Threshold uncertainty score0.633

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 studies0.0010.001
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 head0.065
GPT teacher head0.358
Teacher spread0.293 · 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