Poster Abstracts from the Seventh International Symposium on Gait and Balance in Multiple Sclerosis: Neuroplasticity and Rehabilitation in MS
Notice bibliographique
Résumé
Aitcheson-Hueh NC, Cinelli MEWilfrid Laurier University, ON, CanadaCarling A,1,2 Nilsagård Y31University Health Care Research Centre, Faculty of Medicine and Health, Örebro University, SE 701 82 Örebro, Sweden; 2Department of Physiotherapy, Region Örebro County, Örebro, Sweden; 3Health Care Management, Region Örebro County, Örebro, SwedenLoy BD,1 Fling BW,2 Spain RI,1,3 Horak FB1,31Department of Neurology, Oregon Health & Science University, Portland, OR; 2Department of Health and Exercise Science, Colorado State University, Fort Collins, CO; 3Neurology Services, VA Portland Health Care System, Portland, ORCraig J,1,2 Bruetsch A,1 Lynch S,3 Huisinga J1,2,31Landon Center on Aging, University of Kansas Medical Center, Kansas City, KS; 2Bioengineering Graduate Program, University of Kansas, Lawrence, KS; 3Department of Neurology, University of Kansas Medical Center, Kansas City, KSCraig J,1,2 Bruetsch A,1 Lynch S,3 Huisinga J1,2,31Landon Center on Aging, University of Kansas Medical Center, Kansas City, KS; 2Bioengineering Graduate Program, University of Kansas, Lawrence, KS; 3Department of Neurology, University of Kansas Medical Center, Kansas City, KSAkbar N,1 Clement M,1 Hazlewood S,1 Pollock G,1 Canning K,2 Hicks A,2 Finlayson M11School of Rehabilitation Therapy, Queen's University, Kingston, ON, Canada; 2Department of Kinesiology, McMaster University, Hamilton, ON, CanadaBlock VJ,1 Bove R,1 Keshavan A,1 Zhao C,1 Bevan CJ,1 Crabtree-Hartman E,1 Graves JS.1 Green AJ,1 Gourraud P-A,1 Pletcher MJ,2 Olgin JE,2 Marcus GM,2 Allen DD,3 Cree BAC1, Gelfand JM11Department of Neurology, University of California San Francisco, San Francisco, CA; 2Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA; 3Department of Physical Therapy and Rehabilitation, University of California San Francisco/Department of Physical Therapy and Rehabilitation, San Francisco State University, San Francisco, CAKannan M,1,2 Wick K,1 Hildebrand A,1,2 Hugos C,1,2 Cameron M1,21VA Portland Health Care System, MS Center of Excellence West, Portland, OR; 2Oregon Health & Science University, Department of Neurology, Portland, ORLee C-Y,1 Lee S-P,1 Choi I-Y,1 Lynch SG,2 Huisinga JM31Hoglund Imaging Center, University of Kansas Medical Center, Kansas City, KS; 2Department of Neurology, University of Kansas Medical Center, Kansas City, KS; 3Landon Center on Aging, University of Kansas Medical Center, Kansas City, KSShema-Shiratzky S,1 Mirelman A,1–3 Brozgol M,1 Cornejo-Thumm P1, Moon Y4, Hsieh KL4, Sosnoff J4, Hausdorff JM1,3,5,61Center for the Study of Movement, Cognition and Mobility, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel; 2Department of Neurology and Neurosurgery, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; 3Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel; 4Motor Control Research Laboratory, Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL; 5Department of Physical Therapy, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; 6Rush Alzheimer's Disease Center and Department of Orthopedic Surgery, Rush University Medical Center, Chicago, ILFakolade A,1 Latimer–Cheung A,2 Parsons T, Finlayson M11School of Rehabilitation Therapy, Queen's University, Kingston, ON, Canada; 2School of Kinesiology and Health Studies, Queen's University, Kingston, ON, CanadaBisson EJ,1 Deshpande N,1 French S,1 Sosnoff JJ,2 Finlayson M11School of Rehabilitation Therapy, Queen's University, Canada; 2Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, ILGadayan J,1 Hughes R1 Jang C, 1 Widener GL,2 Lazaro RL,2 Allen DD11University of California San Francisco/San Francisco State University, San Francisco, CA; 2Samuel Merritt University, Oakland, CAZervas M, Wnukowski M, Kaems K, Cerratti, A, Chan N, Shamsian M, Karpatkin HPhysical Therapy Program, Hunter College, New York, NYWajda DA,1 Roach KL,2 Sandroff BM,3 Benedict RHB,4 Motl RW,3,5 Sosnoff JJ21Department of Exercise Science, Cleveland State University, Cleveland, OH; 2Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Champaign, IL; 3Department of Physical Therapy, University of Alabama at Birmingham, Birmingham, AL; 4Department of Neurology, State University of New York at Buffalo, Buffalo, NY; 5UAB/Lakeshore Research Collaborative, Lakeshore Foundation, Birmingham, ALKarpatkin H, Benson A, Broker N, Gardner N, Ramos N, Xu ADepartment of Physical Therapy, Hunter College, New York, NYArpan I, Horak FDepartment of Neurology, Oregon Health & Science University, Portland, ORGera G,1 Fino PC,1,2 Fling BW,3 Horak FB1,21Oregon Health & Science University, Department of Neurology, Portland, OR; 2Veterans Affairs Portland Health Care System, Portland OR; 3Colorado State University, Fort Collins, CO
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».