MétaCan
Menu
Back to cohort
Record W2023790792 · doi:10.1007/s00005-010-0085-y

Intercellular Exchange of Surface Molecules and its Physiological Relevance

2010· review· en· W2023790792 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.

Bibliographic record

VenueArchivum Immunologiae et Therapiae Experimentalis · 2010
Typereview
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsSt. Thomas Hospital
FundersBiotechnology and Biological Sciences Research Council
KeywordsImmune systemFunction (biology)Cell biologyBiologyMajor histocompatibility complexComputational biologyNeuroscienceImmunology

Abstract

fetched live from OpenAlex

For many decades, cellular immunologists have relied on the expression of various cell surface molecules to divide cells into different types and subtypes to study their function. However, in recent years, a large and fast-expanding body of work has described the transfer of surface molecules, including MHC class I and II molecules, between cells, both in vitro and in vivo. The function of this process is still largely unknown, but it is likely to have a significant role in the control of the immune system. It is also likely that this process takes place in a regulated rather than stochastic manner, thus providing another way for the immune system to orchestrate its function. In this review we will summarize the key findings so far, examining the mechanisms of transfer, the consequences of this transfer as shown by in vitro experiments, and possible consequences for the wider immune response.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.883
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
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 head0.044
GPT teacher head0.323
Teacher spread0.279 · 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