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Record W2760087811 · doi:10.2741/4616

Immune response to systemic inflammation in the intestinal microcirculation

2017· article· en· W2760087811 on OpenAlexaff

Bibliographic record

VenueFrontiers in bioscience · 2017
Typearticle
Languageen
FieldNeuroscience
TopicBarrier Structure and Function Studies
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMicrocirculationInflammationImmune systemIntravital microscopySystemic inflammationMedicineImmunologySystemic circulationInfiltration (HVAC)PathologyInternal medicine

Abstract

fetched live from OpenAlex

Systemic inflammation is characterized by acute or chronic dysregulation of the host immune response. The intestine plays an important role in systemic inflammation. Disturbances in the intestinal microcirculation due to infiltration of immune cells during systemic inflammation can increase bacterial translocation from the gut to the circulation and aggravate the pathological condition. Therefore, the intestinal microcirculation is relevant with respect to two aspects – as pathophysiological trigger and therapeutic target in systemic inflammation. Experimental intravital microscopy represents a unique method to study the immune response in organs and tissues in vivo. Novel non-invasive imaging technologies facilitate the examination of the human microcirculation. Future developments are needed to miniaturize the imaging technologies and automate the time-consuming analyses of the in vivo data in order to make the intestinal microcirculation accessible for routine diagnostics and therapeutic monitoring.

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)0.001
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: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.025
GPT teacher head0.270
Teacher spread0.245 · 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

Citations14
Published2017
Admission routes1
Has abstractyes

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