Bibliographic record
Abstract
Psoriasis is a multigenic disease with a number of susceptibility loci on different chromosomes predisposing to the disease, which is in turn triggered by environmental factors. The pathogenesis of psoriasis is characterized by 2 main components, the dysfunctions of the immune system and the alteration of keratinocyte homeostasis. While the Th1 T cell response has long been considered the sole immune agent in the pathomechanisms of psoriasis, recently, the role of IL-23-driven Th17 has been shown to be predominant. Subsequently, only effector memory T cells expressing alpha1beta1 integrin migrate into the epidermis, and psoriasis development is inhibited by blocking this integrin. Psoriatic epidermis contains high amounts of antimicrobial peptides, which have been shown to be a key mediator of plasmocytoid dendritic cell activation in psoriasis. The keratinocyte component has recently regained the central stage, as the abrogation of JunB/activator protein 1 in mouse keratinocytes induces development of psoriasiform lesions in T cell deficient mice. Moreover, inhibition of nerve growth factor and its receptor in keratinocytes strikingly improves psoriatic lesions.
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 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 | 0.021 | 0.032 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.013 | 0.018 |
| Open science | 0.006 | 0.006 |
| Research integrity | 0.008 | 0.013 |
| Insufficient payload (model declined to judge) | 0.065 | 0.048 |
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".