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Record W3155094325

Role of Neutrophil Extracellular Traps in the Pathogenesis of C3 Glomerulopathy

2020· dissertation· W3155094325 on OpenAlexaff
Samuel Suntharalingham

Bibliographic record

VenueTSpace · 2020
Typedissertation
Language
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNeutrophil extracellular trapsPathogenesisImmunologyExtracellularGlomerulopathyMedicineGlomerulonephritisBiologyInflammationCell biologyKidneyInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

The complement system is a component of the innate immune system and its lack in regulation leads to the development of complement-mediated diseases. Complement 3 glomerulopathy (C3G) is a spectrum of kidney diseases in which the hallmark is positive staining for C3 on the glomerular walls. There is currently no approved treatment for C3G, subsequently leading to poor prognosis for these patients. Therefore, there is a strong incentive for bridging current knowledge gaps. Neutrophils have been discovered to undergo a unique cell death, termed NETosis which has been implicated in exacerbating several diseases by disrupting physiological inflammation and coagulation. We have shown healthy neutrophils can be stimulated by complement activation to undergo NETosis in a stepwise fashion. We have demonstrated that neutrophils from C3G patients also undergo similar changes as this, suggesting that the complement activation they face in situ may play a role in the patients’ disease state.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.023
GPT teacher head0.272
Teacher spread0.248 · 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 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

Citations0
Published2020
Admission routes1
Has abstractyes

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