Bibliographic record
Abstract
Guillain-Barré Syndrome (GBS) is an illness characterized by acute neuromuscular paralysis. A review of the history, course of the disease, current treatments, and nursing interventions, as well as excerpts from a patient teaching guide developed by the author for patients with GBS is included in this paper. The objectives are to present information about GBS, first at a level of understanding appropriate for patients and their families, and then to provide a more indepth discussion for health care providers. Despite the potential severity of GBS, the expected outcomes are encouraging. GBS affects 1-2.73 individuals per 100,000/year (Hahn, 1998). The symptoms can range from numbness and tingling with mild weakness to total paralysis requiring mechanical ventilation. Once diagnosed, patients are usually treated with intravenous immune globulin (i.v. IG), which significantly reduces the duration of the illness (Hughes, 1997; Guillain-Barré Syndrome Study Group, 1985). Neuroscience nurses can make a difference in the recovery of their patients by anticipating potential complications and attending to their special needs during the acute and recovery phases of their illness. Aside from physical care, being able to support and teach the patient and family about GBS is crucial. Use of a patient and family teaching guide is one strategy for providing education and support.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.101 | 0.055 |
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".