Bibliographic record
Abstract
Numbers of activated eosinophils are higher in patients with active and inactive ulcerative colitis (UC) compared with controls, but higher in the quiescent than in the active phase, indicating that eosinophils may play diverse roles in the pathophysiology of inflammatory bowel disease (proinflammatory versus repair) Eosinophils are proinflammatory leucocytes that constitute a small percentage of circulating blood cells. In the healthy state, most of these cells reside in the gastrointestinal tract within the lamina propria of the stomach and intestine. They differentiate in the bone marrow from progenitor cells under the influence of interleukin (IL)-3, IL-5, and granulocyte-macrophage colony stimulating factor. IL-5 also stimulates their release into the peripheral circulation.1 They then migrate to the gastrointestinal tract in response to eotaxin, a chemokine that is constitutively expressed throughout the gastrointestinal tract. This chemokine binds to the CCR-3 receptor on eosinophils and is required for their homing to the gastrointestinal tract.2,3 However, constitutive expression of eotaxin is not sufficient for tissue eosinophil trafficking because some gastrointestinal segments (such as the tongue and oesophagus) express eotaxin but are normally devoid of eosinophils.1 So this may explain why the help of other cytokines is needed to complete the homing of eosinophils to the intestines. One such cytokine is IL-5, which increases the circulating pool of eosinophils and primes eosinophils to have enhanced responses to eotaxin.1 Eosinophils secrete toxic inflammatory mediators that are stored in preformed vesicles and also synthesised de novo following cellular activation. The major proteins secreted by eosinophils are eosinophilic cationic protein, major basic protein, eosinophil protein X, eosinophil derived neuroendotoxin, and eosinophil peroxidase. These cause damage to tissues, insert pores into membranes of target cells, and increase smooth muscle reactivity by generating toxic oxygen radicals.4 …
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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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".