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Record W4408919387 · doi:10.1080/10255842.2025.2482128

Compensatory behaviours after oral cancer: stretch reflex improves simulated tongue protrusion

2025· article· en· W4408919387 on OpenAlex
Noor Al-Zanoon, Jacqueline Cummine, Caroline C. Jeffery, Daniel Aalto

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueComputer Methods in Biomechanics & Biomedical Engineering · 2025
Typearticle
Languageen
FieldMedicine
TopicAcupuncture Treatment Research Studies
Canadian institutionsMisericordia Community HospitalUniversity of Alberta
Fundersnot available
KeywordsTongueReflexCancerMedicinePhysical medicine and rehabilitationAnesthesiaInternal medicinePathology

Abstract

fetched live from OpenAlex

The study investigates if a simple stretch reflex mechanism can restore function in a biomechanical tongue model altered by fibrosis, a side effect of radiation therapy for head and neck cancers. Lateral deviation during tongue protrusion was reduced by 57.7% in a high fibrosis case and by 25.97% in a low fibrosis case. Muscle length analysis indicated recovery was driven by the lesion side genioglossus anterior and medial. The results suggest that adaptation may include stretch reflex and other mechanisms to restore function. The study's method establishes a foundation for future systematic investigation of motor adaptation in clinical populations.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.914
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.413
Teacher spread0.392 · 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