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Record W4389541547 · doi:10.17118/11143/20725

Empirically modelling compression garment pressure on alymphedema-affected multilayered tissue model

2023· article· en· W4389541547 on OpenAlexaff
Vivian Ngoc Tram, Sarah Dykstra, Run Ze Gao, Carolyn L. Ren

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicLymphatic System and Diseases
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsLymphedemaCompression (physics)Computer scienceBiomedical engineeringMaterials scienceMedicineComposite materialInternal medicineCancerBreast cancer

Abstract

fetched live from OpenAlex

Abstract: Lymphedema patients often turn to at-home static and active compression devices when daily manual lymph drainage performed by a clinician is not possible. These devices are engineered to replicate the compression administered by clinicians to push lymph fluid away from the extremities and prevent further accumulation in the limbs to reduce swelling. In a typical static or active fabricbased compression garment, the compression is achieved by designing the circumference of the free fabric to be smaller than the arm on which it is to be worn. As a result, when the garment is worn, there is simultaneous tension in the fabric, as well as radial compression administered on the arm at the interface. Advances in materials and manufacturing methods enable more effective, easyto-wear compression garments to be developed, which calls for accurate design tools to predict the pressure exerted on the limb relative to the amount of tension in the sleeve fabric.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score0.768

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.075
GPT teacher head0.351
Teacher spread0.276 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations0
Published2023
Admission routes1
Has abstractyes

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