Bibliographic record
Abstract
Every individual with scleroderma is unique. Symptoms vary in severity, duration, and effect on the individual. Many with scleroderma live an unpredictable life, as they struggle to understand the condition and to manage the unpredictable symptoms. Because of rarity of the condition, many nurses know little about scleroderma, its symptoms, and how to manage them. Nurses should equip themselves with information about rare conditions and not shy away from asking individuals about their condition and how best to help them. It is essential for occupational health nurses to appreciate the individuality of the condition and discuss workers' unique symptoms and care needs with them. Equipped with knowledge, caring for clients with scleroderma can be a rewarding experience for both the nurses and the client. In the work setting, the occupational health nurse can provide leadership to assist the individual with scleroderma to live as productive a life as possible. Nurses in all settings, hospital, community, and work, can do much to assist individuals with the management of chronic conditions such as scleroderma.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".