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Changes in enteric neural circuitry and smooth muscle in the inflamed and infected gut

2004· review· en· W2002186538 on OpenAlexafffund
Gary M. Mawe, Stephen M. Collins, Terez Shea‐Donohue

Bibliographic record

VenueNeurogastroenterology & Motility · 2004
Typereview
Languageen
FieldMedicine
TopicGastrointestinal motility and disorders
Canadian institutionsMcMaster University
FundersNational Institute of Neurological Disorders and StrokeNational Institute of Diabetes and Digestive and Kidney DiseasesNovartis Pharmaceuticals CanadaNational Institutes of HealthNovartis Pharmaceuticals Corporation
KeywordsEnteric nervous systemEnterochromaffin cellInflammationSecretionEnteric virusBiologyImmunologyNeuroscienceMedicineInternal medicineMicrobiology

Abstract

fetched live from OpenAlex

Much of the morbidity associated with inflammatory bowel disease (IBD) and infection is caused by disordered gastrointestinal motor and secretory functions. Given that intestinal smooth muscle tone and epithelial cell secretion are regulated by the enteric nervous system (ENS), it is quite likely that inflammation-induced changes in the enteric neural circuitry contribute to intestinal dysmotility and diarrhoea. Indeed, discoveries over the past decades have demonstrated that gut inflammation and infections are associated with changes in key elements all along the enteric neural circuitry from the sensory transducers, the enterochromaffin (EC) cells, to the terminals of motor neurones.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.284
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.034
GPT teacher head0.298
Teacher spread0.264 · 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 teacher head, not a consensus.

Study designObservational
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

Citations54
Published2004
Admission routes2
Has abstractyes

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