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Record W2550235689 · doi:10.1111/sji.12500

Immunological Tolerance. Part I of a Report of a Workshop on Foundational Concepts of Immune Regulation

2016· article· en· W2550235689 on OpenAlexaff
C. C. Anderson, Peter A. Bretscher, Alexandre Corthay, Zlatko Dembić, C Havele, Zoltan A. Nagy, Inger Øynebråten

Bibliographic record

VenueScandinavian Journal of Immunology · 2016
Typearticle
Languageen
FieldImmunology and Microbiology
TopicT-cell and B-cell Immunology
Canadian institutionsUniversity of SaskatchewanUniversity of Alberta
Fundersnot available
KeywordsContext (archaeology)Immune systemImmunologyAntigenCognitive scienceNeuroscienceBiologyEpistemologyCell biologyPsychologyPhilosophy

Abstract

fetched live from OpenAlex

This report, the first of two, arose from a one-week workshop directed at discussing concepts of immune regulation, and focuses on immunological tolerance. We first outline the major ideas we thought sufficiently plausible to provide a context for discussing more controversial issues around tolerance. We then report on our discussion of different experiments that appear paradoxical in terms of the different, contemporary models of CD4 T cell inactivation/activation, and how such observations might be resolved in terms of insights provided by these contemporary models. These discussions bear on the plausibility of the Pathogen-Associated Molecular Pattern (PAMP), Danger and Two Step, Two Signal Models for the activation of naïve CD4 T cells. Some of the observations considered appear paradoxical in terms of the PAMP and Danger Models, but not with the Two Step, Two Signal Model. For example, genetically immunodeficient mice have been given foreign, sterile ectopic grafts, and the immune system allowed to develop once these grafts were well-healed in, and so in the absence of PAMPs or danger. The grafts were rejected, unexpected on the PAMP or Danger Models. We also discussed considerations and observations bearing on the widely held idea that antigen must crosslink the membrane Ig receptors of a B cell to initiate the generation of signal 1, or the alternative possibility that monovalent binding by antigen can do so. We favored the latter possibility, and discussed a particular model, "the Elbow Model," for how this might be achieved.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.019
GPT teacher head0.266
Teacher spread0.247 · 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 teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations11
Published2016
Admission routes1
Has abstractyes

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