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Record W2060945897 · doi:10.1007/s00005-008-0041-2

Positive and negative regulatory mechanisms in high-affinity IgE receptor-mediated mast cell activation

2008· review· en· W2060945897 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 · 2008
Typereview
Languageen
FieldImmunology and Microbiology
TopicMast cells and histamine
Canadian institutionsDalhousie University
Fundersnot available
KeywordsImmunoglobulin ECell biologyMast cellAllergic inflammationDephosphorylationSignal transductionEffectorReceptorPhosphorylationPhosphataseInflammationChemistryBiologyImmunologyAntibodyBiochemistry

Abstract

fetched live from OpenAlex

Mast cells are important effector cells in allergic inflammatory reactions. The aggregation of the high-affinity IgE receptor (FcepsilonRI) on the surface of mast cells initiates a complex cascade of signaling events that ultimately leads to the release of various mediators involved in allergic inflammation and anaphylactic reactions. The release of these mediators is tightly controlled by signaling pathways that are propagated through the cell by specific phosphorylation and dephosphorylation events. These events are controlled by protein kinases and protein phosphatases which either positively or negatively regulate the propagation of the signal through the cell. This review summarizes the role of both positive and negative regulators of FcepsilonRI-induced mast cell activation.

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 score0.770
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.258
Teacher spread0.241 · 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