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Record W2791048460 · doi:10.1016/j.jcmgh.2018.01.002

TRPing Up Fibrosis: A Novel Role for TRPA1 in Intestinal Myofibroblasts

2018· editorial· en· W2791048460 on OpenAlexaff
Simon A. Hirota

Bibliographic record

VenueCellular and Molecular Gastroenterology and Hepatology · 2018
Typeeditorial
Languageen
FieldNeuroscience
TopicIon Channels and Receptors
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMyofibroblastFibrosisMedicineExtracellular matrixInflammationInflammatory bowel diseasePathologyCrohn's diseaseMuscle hypertrophyDiseaseInternal medicineBiologyCell biology

Abstract

fetched live from OpenAlex

Intestinal fibrosis is a common complication of the inflammatory bowel diseases (IBDs), affecting 30%–50% of patients with Crohn’s disease (CD). It is thought to be a consequence of chronic inflammation, and intestinal fibrosis is characterized by myofibroblast accumulation, excessive deposition of extracellular matrix (ECM), and in some cases smooth muscle hypertrophy. The most severe phenotype, in which tissue remodeling leads to luminal narrowing, occurs in more than 30% of CD patients within 10 years of disease diagnosis,1 with many of these patients requiring surgery and, ultimately, experiencing stricture recurrence.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.002

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 head0.012
GPT teacher head0.246
Teacher spread0.235 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations7
Published2018
Admission routes1
Has abstractyes

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