Home Modifications and Aging With Multiple Sclerosis: An Overview for Speech-Language Pathologists
Bibliographic record
Abstract
No AccessPerspectives on GerontologyArticle1 Oct 2007Home Modifications and Aging With Multiple Sclerosis: An Overview for Speech-Language Pathologists Carrie Bruce Carrie Bruce Center for Assistive Technology and Environmental Access (CATEA), Georgia Institute of TechnologyAtlanta, GA Google Scholar More articles by this author https://doi.org/10.1044/gero12.1.12 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationTrack Citations ShareFacebookTwitterLinked In References Balcer, L. J.,Baier, M. L.,Cohen, J. A.,Kooijmans, M. F.,Sandrock, A. W.,Nano-Schiavi, M. L.,Pfohl, D. C.,Mills, M.,Bowen, J.,Ford, C.,Heidenreich, F. R.,Jacobs, D. A.,Markowitz, C. E.,Stuart, W. H.,Ying, G. S.,Galetta, S. L.,Maguire, M. G., & Cutter, G. R. (2003). Contrast letter acuity as a visual component for the Multiple Sclerosis Functional Composite.Neurology, 61(10), 1367–1373. Google Scholar Bobholz, J., & Rao, S. (2003). 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Multiple sclerosis—A statistical portrait: A compendium of data on demographics, disability, and health services utilization in the United States. Cambridge, MA: Abt Associates. Google Scholar Rao, S. (2001). Cognitive impairment in multiple sclerosis [Electronic version].Retrieved June1, 2007, from http://www.healthology. com/multiple-sclerosis/article104.htm Google Scholar Rao, S.,Leo, G.,Bernardin, L., & Unverzagt, F. (1991). Cognitive dysfunction in multiple sclerosis: I. Frequency, patterns and predictions.Neurology, 41, 658–691. Google Scholar Rao, S.,Leo, G.,Ellington, L.,Nauertz, T.,Bernardin, L., & Unverzagt, F. (1991). Cognitive dysfunction in multiple sclerosis: II. Impact on employment and social functioning.Neurology, 41, 692–696. Google Scholar The Optic Neuritis Study Group. (1997). Optic Neuritis Study Group: Visual function 5 years after optic neuritis: Experience of the Optic Neuritis Treatment Trial.Archives of Ophthalmology, 115(12), 1545–1552. Google Scholar University of Maryland Medical Center. (2002). Multiple sclerosis. Retrieved June1, 2007, from http://www.umm.edu/patiented/articles/how_serious_multiple_sclerosis_000017_6.htm Google Scholar Additional Resources FiguresReferencesRelatedDetails Volume 12Issue 1October 2007Pages: 12-17 Get Permissions Add to your Mendeley library History Published in issue: Oct 1, 2007 Metrics Downloaded 57 times Topicsasha-topicsasha-article-typesasha-sigsCopyright & Permissions© 2007 American Speech-Language-Hearing AssociationPDF DownloadLoading ...
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.009 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".