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Record W2591702058 · doi:10.21037/atm.2017.01.50

Exosomes, your body’s answer to immune health

2017· letter· en· W2591702058 on OpenAlex
Beverlie Baquir, Robert E. W. Hancock

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

VenueAnnals of Translational Medicine · 2017
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicExtracellular vesicles in disease
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health ResearchKillam Trusts
KeywordsMicrovesiclesCD80Cell biologyImmune systemCD86ExosomeMesenchymal stem cellCD40CD81Paracrine signallingMajor histocompatibility complexBiologySecretionStromal cellChemistryImmunologyT cellCancer researchCytotoxic T cellBiochemistryReceptormicroRNA

Abstract

fetched live from OpenAlex

Mesenchymal stromal cells (MSC) have a profound effect on the regulation of the immune system. MSCs show low expression of major histocompatibility complex (MHC)-II and costimulatory surface molecules that include CD40, CD40L, CD80 and CD86, indicating immunomodulatory properties (1). Interestingly, prior research indicated that MSCs are important immune modulators that exert their biological effects in a paracrine manner, involving secretion of exosomes. Exosomes have emerged as an important means for cellular communication through the transfer of proteins and genetic material between cells. Exosomes are a form of extracellular lipid vesicle that are usually 40–100 nm in diameter, have a density of 1.10–1.18 g/mL on sucrose gradients and contain exosome membrane-specific proteins such as CD9, CD63 and CD81 (2).

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.143
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.074
GPT teacher head0.380
Teacher spread0.305 · 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