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Record W2141300346 · doi:10.4161/21688370.2014.982426

Roles and regulation of the mucus barrier in the gut

2015· article· en· W2141300346 on OpenAlexafffund
Steve Cornick, Adelaide Tawiah, Kris Chadee

Bibliographic record

VenueTissue Barriers · 2015
Typearticle
Languageen
FieldImmunology and Microbiology
TopicGalectins and Cancer Biology
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchCrohn's and Colitis Canada
KeywordsMucusMucinGoblet cellBarrier functionCell biologySecretionBiologyInnate immune systemImmune systemEpitheliumImmunologyMicrobiologyBiochemistry

Abstract

fetched live from OpenAlex

The gastrointestinal tract is coated by a thick layer of mucus that forms the front line of innate host defense. Mucus consists of high molecular weight glycoproteins called mucins that are synthesized and secreted by goblet cells and functions primarily to lubricate the epithelium and protect it from damage by noxious substances. Recent studies have also suggested the involvement of goblet cells and mucins in complex immune functions such as antigen presentation and tolerance. Under normal physiological conditions, goblet cells continually produce mucins to replenish and maintain the mucus barrier; however, goblet cell function can be disrupted by various factors that can affect the integrity of the mucus barrier. Some of these factors such as microbes, microbial toxins and cytokines can stimulate or inhibit mucin production and secretion, alter the chemical composition of mucins or degrade the mucus layer. This can lead to a compromised mucus barrier and subsequently to various pathological conditions like chronic inflammatory diseases. Insight into how these factors modulate the mucus barrier in the gut is necessary in order to develop strategies to combat these disorders.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.239
Teacher spread0.228 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations543
Published2015
Admission routes2
Has abstractyes

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