Bibliographic record
Abstract
Scabies is caused by infestation of the skin by Sarcoptes scabiei var. hominis. It affects all age groups and is a worldwide disease. Clinical features appear several weeks after exposure, and are associated with pruritus. Burrows, excoriations, vesicles, papules and nodules are seen on physical examination. Infested individuals are at risk of secondary bacterial infection. Diagnosis is often made clinically, but can be confirmed by performing a scabies preparation and/or dermoscopy. Topical therapy is the mainstay of treatment and should be utilized by all household and other contacts. For severe infestations, oral ivermectin is an alternative therapy. The term pseudoscabies is used to describe a skin eruption caused by mites for which, unlike scabies, humans are not the normal host. Bird, rodent and dog mites are most commonly implicated in children. Pseudoscabies is characterized clinically by nonspecific pruritic papules on exposed skin. Diagnosis requires a high degree of clinical suspicion, as the offending mites are barely visible to the human eye. Treatment depends primarily upon the identification and removal (or treatment) of the source of contact.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.011 |
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".