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Record W4386906375 · doi:10.1016/s1474-4422(23)00280-6

Cognitive rehabilitation and aerobic exercise for cognitive impairment in people with progressive multiple sclerosis (CogEx): a randomised, blinded, sham-controlled trial

2023· article· en· W4386906375 on OpenAlexafffund
Anthony Feinstein, Maria Pia Amato, Giampaolo Brichetto, Jeremy Chataway, Nancy D. Chiaravalloti, Gary Cutter, Ulrik Dalgas, John DeLuca, Rachel Farrell, Peter Feys, Massimo Filippi, Jennifer Freeman, Matilde Inglese, Cecilia Meza, Robert W. Motl, Maria A. Rocca, Brian M. Sandroff, Amber Salter, Alex Pietrusz, Andrea Tacchino, Angela D. Smith, Anne Sophie Michelsen, A Champagne Kristin, Blake Bichler, Brendon Truax, Carmen Vizzino, C. Danielle Jones, Catherine Holme, Catherine C. Smith, Charly Keytsman, Chiara Pollio, C. B. Cole, Claudia Niccolai, Claudio Cordani, Eleonora Colombo, Elisa Pelosin, Ellen Vanzeir, Fedrica Vannetti, Filippo Gerli, Francesco Maranta, Gianna Carla Riccitelli, Guido Pasquini, Holly N. Wilkinson, Irene Mosca, James Braisher, Jessica F. Baird, Jessica Podda, Jimmy Morecraft, Joke Lenaerts, Juliana Puopolo, Kimberley Algie, Laura Kenton, Laura E. Toll, Laurits T. Madsen, Leen Knevels, Louie Lee, Ludovico Pedullà, Maria Cellerino, Marie Braisher, Marie-Louise K. Jørgensen, Matteo Pardini, Mauro Sibilia, Max Nabarro, Mette Dahl Diedmann, Michael DiBenedetto, Michele Curran, Michelle Koch, Mieke D’hooge, Nancy B. Moore, Natasja De Weerdt, Paolo Preziosa, Patrizia Pajak, Petra Šilić, Rebecca Bex Walters, Rebecca Finegan, Renee Veldkamp, R. Hernandez, Rudi Donnee, Sabrina Casagrande, Samantha Lancia, Sara Della Bella, Séline Vandecasteele, Veerle Vandael

Bibliographic record

VenueThe Lancet Neurology · 2023
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
FundersMultiple Sclerosis TrustMultiple Sclerosis SocietyMultiple Sclerosis Society of CanadaScleroseforeningenNational Multiple Sclerosis Society
KeywordsPhysical medicine and rehabilitationCognitionPhysical therapyAerobic exerciseRehabilitationCognitive impairmentMultiple sclerosisMedicineCognitive rehabilitation therapyRandomized controlled trialPsychologyPsychiatryInternal medicine

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0100.001

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.

Opus teacher head0.073
GPT teacher head0.339
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations65
Published2023
Admission routes2
Has abstractno

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