Bibliographic record
Abstract
Vernal keratoconjunctivitis (VKC) is an allergic, bilateral, recurrent inflammatory disorder of the conjunctiva and the cornea that has a seasonal incidence. It affects young males more than females in age bracket of 3 to 16. In the majority of cases, symptoms resolve at puberty, but some may run into adulthood. Diagnosis is based typically on clinical signs and symptoms. The cause of the disease is not clearly known, but it is often associated with atopic diseases such as asthma or eczema and is probably due to a longstanding allergic reaction. The disease consists clinically of the palpebral, limbal and mixed types. Its management has been a great challenge to eye care providers because of its recurrent nature, the large number of individuals who are affected, wrong diagnoses, and lack of judicious drug administration. The disease has the potential of producing serious vision-threatening complications if not adequately managed. This case report also reviews the diagnosis and management options for patients with mixed VKC and demonstrates the importance of the clinician’s role in taking a careful case history and in modifying treatment when necessary throughout care.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".