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Record W4379659637 · doi:10.24908/agt.v1i1.16122

Automated Cold, Compression, and Heat Gloves for Arthritis: A Proposal for Combination Therapy

2023· article· en· W4379659637 on OpenAlex

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

VenueAging and (Geron) Technology · 2023
Typearticle
Languageen
FieldMedicine
TopicIntramuscular injections and effects
Canadian institutionsQueen's University
Fundersnot available
KeywordsPain reliefMedicineCompression therapyProgrammerCompression (physics)Physical therapyComputer scienceSurgery

Abstract

fetched live from OpenAlex

Compression, heat, and cold therapy are commonly recommended for arthritis at-home pain relief. A combination of all three therapies would be beneficial to provide ease of use and autonomy for patients. A new proposed pain-relief solution involves gloves that combine compression, heat, and cold. These gloves would provide patients with an efficient and convenient pain relief method inside or outside the house. Specifically, they would provide compression and heat settings that can automatically turn off after a set time. With the help of a clinician programmer, daily cold therapy time can be scheduled for long-term treatment. This technology may initially be limited by its cost and accessibility, but those issues should recede with further developments.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.449
Threshold uncertainty score0.321

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)0.0000.000

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 head0.011
GPT teacher head0.292
Teacher spread0.281 · 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