Poster Abstracts from the Seventh International Symposium on Gait and Balance in Multiple Sclerosis: Neuroplasticity and Rehabilitation in MS
Bibliographic record
Abstract
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
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".