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Cognitive correlates of antisaccade behaviour across multiple neurodegenerative diseases
Heidi C. Riek, Donald C. Brien, Brian C. Coe, Jeff Huang, Julia E. Perkins, Rachel Yep, Paula McLaughlin, J. B. Orange, Alicia Peltsch, Angela Roberts, Malcolm A. Binns, Wendy Lou, Agessandro Abrahão, Stephen R. Arnott, Derek Beaton, Sandra E. Black, Dar Dowlatshahi, Elizabeth Finger, Corinne E. Fischer, Andrew Frank, David A. Grimes, Sanjeev Kumar, Anthony E. Lang, Jane M. Lawrence‐Dewar, Jennifer Mandzia, Connie Marras, Mario Masellis, Stephen Pasternak, Bruce G. Pollock, Tarek K. Rajji, Demetrios J. Sahlas, Gustavo Saposnik, Dallas Seitz, Christen Shoesmith, Thomas Steeves, Stephen C. Strother, Kelly M. Sunderland, Richard H. Swartz, Brian Tan, David F. Tang‐Wai, Maria Carmela Tartaglia, John Turnbull, Lorne Zinman, Douglas P. Munoz, Sabrina Adamo, Robert Bartha, Courtney Berezuk, Alanna Black, Michael Borrie, Susan E. Bronskill, Dennis E. Bulman, Leanne K. Casaubon, Ben Cornish, Sherif Defrawy, Allison A. Dilliott, Roger A. Dixon, Sali M.K. Farhan, Frederico Faria, Julia Fraser, Morris Freedman, Mahdi Ghani, Barry Greenberg, Hassan Haddad, Ayman Hassan, Wendy Hatch, Rob Hegele, Melissa F. Holmes, Chris Hudson, Mandar Jog, Peter Kleinstiver, Donna Kwan, Elena Leontieva, Brian Levine, Efrem D. Mandelcorn, Ed Margolin, Bill McIlroy, Manuel Montero‐Odasso, David G. Munoz, Nuwan D. Nanayakkara, Miracle Ozzoude, Joel Ramirez, Natalie Rashkovan, John F. Robinson, Ekaterina Rogaeva, Yanina Sarquis Adamson, Christopher J.M. Scott, Michael J. Strong, Sujeevini Sujanthan, Sean Symons, Athena Theyers, Angela K. Troyer, Karen Van Ooteghem, John Woulfe, Mojdeh Zamyadi
Bibliographic record
VenueBrain Communications · 2023
Typearticle
Languageen
FieldMedicine
TopicGlaucoma and retinal disorders
Canadian institutionsOccupational Cancer Research CentreMcMaster UniversityHealth Sciences CentreUniversity of CalgarySt Joseph's Health CareNova Scotia Health AuthorityWestern UniversityToronto Dementia Research AlliancePublic Health OntarioParkwood InstituteLondon Health Sciences CentreToronto Western HospitalCentre for Addiction and Mental HealthOttawa HospitalBruyèreUniversity Health NetworkSt. Michael's HospitalSunnybrook Health Science CentreDalhousie UniversityUniversity of OttawaBaycrest HospitalUniversity of TorontoThunder Bay Regional Research InstituteQueen's University
FundersBaycrest FoundationFaculty of Health Sciences, Queen's UniversityTemerty Family FoundationLondon Health Sciences FoundationBruyère Research InstituteQueen's UniversityCanada Research ChairsGovernment of OntarioCanadian Institutes of Health ResearchParkinson CanadaCentre for Addiction and Mental Health FoundationMcMaster UniversityALS AssociationLondon Health Sciences CentreFaculdade de Ciências da Saúde, Universidade de MacauOntario Brain InstituteUniversity of OttawaThunder Bay Regional Health Sciences Centre
KeywordsSaccadeNeuropsychologyDementiaPsychologyFrontotemporal dementiaCognitionDiseaseAudiologyAmyotrophic lateral sclerosisAntisaccade taskNeuropsychological testCognitive declinePhysical medicine and rehabilitationNeuroscienceEye movementMedicineInternal medicine
Abstract
OpenAlex records an abstract for this work, but it could not be fetched just now.
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.
metaresearch head score (Codex)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.007
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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.
Opus teacher head0.043
GPT teacher head0.359
Teacher spread0.316 · how far apart the two teachers sit on this one work
Validation status
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.
The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Citations36
Published2023
Admission routes2
Has abstractyes