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Record W1996808776 · doi:10.1051/medsci/20072311985

Le foie : un organe du système immunitaire ?

2007· article· fr· W1996808776 on OpenAlexaff
Pascal Lapierre, Fernando Álvarez

Bibliographic record

Venuemédecine/sciences · 2007
Typearticle
Languagefr
FieldMedicine
TopicHepatitis B Virus Studies
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

The liver stands in a unique position between the gastrointestinal tract and systemic venous system. Its constant exposure to food antigens, bacterial products and potential pathogens through the mesenteric circulation, requires the liver to maintain tolerogenic capabilities while preserving the means to mount effective immune responses. The liver has the unique ability amongst solid organs, to activate naïve CD8+ T lymphocytes in an antigen-specific manner. However, this activation can be inefficient and lead to apoptosis. This phenomenon is believed to be involved in both, the development of oral tolerance and the induction of tolerance in liver allografts. The liver is the target of both autoimmune diseases and of chronic viral infections and its unique tolerogenic environment has frequently been suggested as a factor in the development of these diseases. A better grasp of the liver's unique immunological processes would lead to a better understanding of immune tolerance mechanisms and their role in the development of autoimmune diseases and chronic viral infections.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.005
Scholarly communication0.0040.005
Open science0.0000.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.002

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 head0.025
GPT teacher head0.288
Teacher spread0.263 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations10
Published2007
Admission routes1
Has abstractyes

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