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Record W1957063107

Macrophage polarization in spondyloarthritis

2012· article· en· W1957063107 on OpenAlexaff
Carmen A. Ambarus

Bibliographic record

VenueUvA-DARE (University of Amsterdam) · 2012
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMacrophage Migration Inhibitory Factor
Canadian institutionsInstitute of Infection and Immunity
FundersEuropean Social FundXunta de GaliciaDutch Arthritis AssociationNederlandse Organisatie voor Wetenschappelijk OnderzoekGlaxoSmithKline
KeywordsArtTheologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Er zijn verschillen tussen macrofagen (grote mononucleaire cellen) die buiten het lichaam zijn gekweekt en macrofagen in het gewricht van de mens. Dat concludeert Carmen Ambarus. Ook blijken macrofagen een veel complexere functie hebben dan voorheen werd gedacht. Dit is belangrijk om het ontstaan van chronische gewrichtsziekte spondyloartritis beter te begrijpen en betere behandelingen te ontwikkelen. Spondyloartritis is na reumatoïde artritis de meest voorkomende vorm van chronische gewrichtsontsteking. Het ontstekingsproces in spondyloartritis lijkt te worden gedreven door cellen van het aangeboren immuunsysteem, zoals macrofagen. Deze cellen kunnen veranderen door signalen uit hun omgeving. Hierdoor kunnen ze op verschillende manieren reageren op dezelfde prikkel.

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: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.190
Teacher spread0.182 · 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
Published2012
Admission routes1
Has abstractyes

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