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Record W2115339089 · doi:10.1126/scitranslmed.3002011

Broken Barriers: A New Take on Sepsis Pathogenesis

2011· article· en· W2115339089 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueScience Translational Medicine · 2011
Typearticle
Languageen
FieldMedicine
TopicSepsis Diagnosis and Treatment
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
FundersCanadian Institutes of Health Research
KeywordsPathogenesisSepsisMedicineImmunologyKey (lock)Intensive care medicineBiology

Abstract

fetched live from OpenAlex

Despite intense research into the pathogenesis of sepsis, the current therapy for this devastating syndrome is primarily supportive and mortality remains high. The paucity of specific therapies is not for lack of effort; countless clinical trials in sepsis patients have failed despite promising preclinical data obtained from in vitro and animal models. Human sepsis is characterized by diffuse microvascular leak and tissue edema-features that have been largely ignored in animal models. Moreover, there have been no clinical trials of agents designed to prevent or treat leaky vasculature. Recent compelling evidence suggests that the breakdown in endothelial barrier function plays a crucial role in the pathogenesis of sepsis. In particular, these data suggest that preventing vascular leak can reduce mortality from sepsis. In this Perspective, we highlight the endothelial barrier as a new target for sepsis therapeutics, examining three potential strategies: enhancement of endothelial junctions; reinforcement of the endothelial cytoskeleton; and modulation of endothelial activation.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.290
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.186
GPT teacher head0.360
Teacher spread0.175 · 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