Bibliographic record
Abstract
Abstract Intestinal epithelial cells are the cell boundary between the external environment and tissues of the gastrointestinal tract. From this interface the epithelial cells have evolved processes that help guide whether inflammation or an immune response will occur in the intestines. Indeed intestinal epithelial cells are active participants in the inflammatory and immune response because they (1) secrete inflammatory mediators, including cytokines, when they detect certain microbes; (2) secrete mediators when they become detached from the basement membrane; (3) recruit and engage dendritic cells, professional antigen‐presenting cells which sample the intestinal lumen prior to presenting antigens to lymphocytes and (4) directly present antigens to T lymphocytes using a unique repertoire of molecules. Antigen presentation to lymphocytes is required for the initiation of a specific adaptive immune response, whether humoral (antibody) or cellular, and may be key to explaining many human chronic inflammatory diseases. Key concepts Intestinal epithelial cells form a monolayer of cells that define the boundary between tissues of the intestine and the external environment. From this point of interface, intestinal epithelial cells receive and interpret insults/assaults from the intestinal lumen and signal to the tissues whether inflammation will ensue. Intestinal epithelial cells communicate through the secretion of protein and glycoprotein mediators, some of which launch the inflammatory response including by recruiting leucocytes into the tissues. Intestinal epithelial cells interact with and control lymphocyte activation using specialized molecules, some of which are used in antigen presentation. Antigen presentation to lymphocytes is critical to launching the adaptive (humoral and cellular) immune responses. Antigen presentation by intestinal epithelial cells most commonly results in the inhibition of activation of T lymphocytes, including CD8+ T lymphocytes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".