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Record W2131499742 · doi:10.1186/cc9371

Platelets, endothelium and shear join forces to mislead neutrophils in sepsis

2010· letter· en· W2131499742 on OpenAlexaff
Heitor A. Paula Neto, Paul Kubes

Bibliographic record

VenueCritical Care · 2010
Typeletter
Languageen
FieldImmunology and Microbiology
TopicNeutrophil, Myeloperoxidase and Oxidative Mechanisms
Canadian institutionsInstitute of Infection and ImmunityUniversity of Calgary
FundersMinistério da EducaçãoCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsSepsisOrgan dysfunctionMedicinePlateletImmunologyNeutrophil extracellular trapsEndotheliumInflammationInternal medicine

Abstract

fetched live from OpenAlex

Neutrophils are circulating leukocytes with great cytotoxic potential, responsible for the first combat against invading pathogens. Their accumulation in tissues must be highly controlled so that the number of neutrophils delivered to the affected site is sufficient to control infection with minimum injury to the surrounding healthy tissue. In sepsis, neutrophil migration is dysregulated - resulting in insufficient delivery of neutrophils to the infectious site and massive neutrophil accumulation in uninfected organs. This dysregulation has the potential to cause inappropriate tissue injury that may explain the multiple organ dysfunction observed in severe sepsis. A better understanding of the mechanisms that contribute to this process is fundamental to design therapeutic strategies to circumvent tissue injury and organ dysfunction in sepsis.

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)0.006
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: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.017
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0170.011
Insufficient payload (model declined to judge)0.0020.002

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 head0.018
GPT teacher head0.271
Teacher spread0.253 · 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
GenreCommentary

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

Citations6
Published2010
Admission routes1
Has abstractyes

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