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Record W2145731985 · doi:10.1101/sqb.2013.78.020107

Dissection of Signaling in Inflammation: Three Novel Inflammatory Regulators

2013· review· en· W2145731985 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCold Spring Harbor Symposia on Quantitative Biology · 2013
Typereview
Languageen
FieldNeuroscience
TopicVagus Nerve Stimulation Research
Canadian institutionsUniversity Health NetworkOntario Institute for Cancer Research
FundersCanadian Institutes of Health Research
KeywordsInflammationSignal transductionFunction (biology)CarcinogenesisNeuroscienceCell biologyImmunologyBiologyCancerGenetics

Abstract

fetched live from OpenAlex

Uncontrolled inflammation is a feature of autoimmune diseases and autoinflammatory syndromes and may promote tumorigenesis. Thus, identifying molecules that regulate the signaling pathways triggering, mediating, and suppressing inflammation could be helpful in developing new therapeutic approaches for these debilitating diseases. In this review, we present new information on three molecules with important roles in controlling inflammation: MALT1, Ariadne-2, and acetylcholine. We summarize our current state of knowledge of how these molecules function, and how they are involved in pathways of NF-κB activation or vagal nerve stimulation associated with inflammation.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.897
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.136
GPT teacher head0.386
Teacher spread0.250 · 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