Semantic Dementia and Alzheimer's Disease: Clinical Differences in Speech-Language Pathology
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Résumé
No AccessPerspectives on GerontologyArticle1 Dec 2002Semantic Dementia and Alzheimer's Disease: Clinical Differences in Speech-Language Pathology Regina Jokel and Elizabeth Rochon Regina Jokel University of Toronto Google Scholar More articles by this author and Elizabeth Rochon University of Toronto Google Scholar More articles by this author https://doi.org/10.1044/gero7.3.8 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationTrack Citations ShareFacebookTwitterLinked In References Breedin, S. D.,Saffran, E. M., & Coslett, H. B. (1994). Reversal of the concreteness effect in a patient with semantic dementia.Cognitive Neuropsychology, 11, 617–660. Google Scholar Cummings, J. L., & Cole, G. (2002). Alzheimer disease.Journal of American Medical Association, 18, 287. Google Scholar Funnell, E. (1996). Response biases in oral reading: An account of cooccurrence of surface dyslexia and semantic dementia.The Quarterly Journal of Experimental Psychology, 49, 417–446. 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Neuropsychological differential diagnosis.Lisse, Netherlands: Swets & Zeitlinger. Google Scholar Additional Resources FiguresReferencesRelatedDetails Volume 7Issue 3December 2002Pages: 8-13 Get Permissions Add to your Mendeley library History Published in issue: Dec 1, 2002 Metrics Downloaded 21 times Topicsasha-topicsasha-article-typesasha-sigsCopyright & Permissions© 2002 American Speech-Language-Hearing AssociationPDF DownloadLoading ...
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,004 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,017 | 0,003 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».