Retraction Note: A novel deep learning-based multi-model ensemble method for the prediction of neuromuscular disorders
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Post-publication record
OpenAlex flags this work as retracted, but it carries no matching Retraction Watch record in this frame.
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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.
- Teacher spread
- 0.308 · 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 it
Abstract
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.
The record
- Venue
- Neural Computing and Applications
- Topic
- Infrared Thermography in Medicine
- Field
- Medicine
- Canadian institutions
- McMaster University
- Funders
- —
- Keywords
- Computer scienceArtificial intelligenceEnsemble learningMachine learning
- Has abstract in OpenAlex
- no