Bibliographic record
Abstract
The concept of palliative care in neurology continues to evolve; yet, the stigma about palliative care remains. Some may view offering palliative care to patients with serious neurologic conditions as a medical failure. Until recently, most clinicians have associated palliative care with end-of-life care for patients with malignancy. Fortunately, many have increasingly recognized that end-of-life care is an important aspect of care for patients with neurologic conditions. In recent years, the concept of palliative care has expanded further to include care that focuses on physical, psychosocial, intellectual, and spiritual needs, with the goal of improving quality of life for all patients with serious illness. Thus, palliative care may be appropriate during any phase of serious illness.1 Many neurologic disorders (e.g., multiple sclerosis, stroke, amyotrophic lateral sclerosis, and Parkinson disease) fall within this framework. Neuropalliative care has begun to emerge as a specialty to address these important needs of our patients and their families.
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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.003 | 0.010 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.014 | 0.022 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".