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Record W2120625082 · doi:10.2174/138945012799424615

CD248: Reviewing its Role in Health and Disease

2012· review· en· W2120625082 on OpenAlexafffund
Yanet Valdez, Margarida Maia, Edward M. Conway

Bibliographic record

VenueCurrent Drug Targets · 2012
Typereview
Languageen
FieldImmunology and Microbiology
TopicPhagocytosis and Immune Regulation
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsDiseaseComputer scienceIntensive care medicineComputational biologyEnvironmental healthData scienceMedicineBiologyPathology

Abstract

fetched live from OpenAlex

CD248, also known as endosialin or tumor endothelial marker-1 (TEM-1), is a C-type lectin-like domain (CTLD) containing cell surface glycoprotein that is expressed by stromal cells of proliferating tissues during embryogenesis and postnatally in tumors and inflammatory lesions. Loss-of-function studies in mice support the notion that CD248 promotes tumor growth and inflammation, observations that are stimulating interest in evaluating this molecule as a therapeutic target. In spite of these advances, the mechanisms by which CD248 modulates cancer and inflammation remain largely enigmatic. This review highlights our current understanding of CD248, its structure, pattern of expression, regulation and function in various disease processes.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.003

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 head0.069
GPT teacher head0.346
Teacher spread0.277 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations57
Published2012
Admission routes2
Has abstractyes

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