MétaCan
Menu
Back to cohort
Record W1738608901 · doi:10.1109/ccece.1993.332495

Computer controlled measurement of spasticity

2002· article· en· W1738608901 on OpenAlexaff
C. Hershler, I. Colotla, D.P. Romilly

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicBotulinum Toxin and Related Neurological Disorders
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSpasticityAnkleComputer scienceMeasure (data warehouse)TorqueSoftwareStepperSpasticResistive touchscreenStrain gaugeBiomedical engineeringPhysical medicine and rehabilitationMedicineEngineeringComputer visionElectrical engineeringPhysicsSurgeryData miningOperating system

Abstract

fetched live from OpenAlex

A portable device to quantitatively measure the degree of spasticity in the ankle of patients was developed using a computer-controlled system consisting of a pedal which is rotated through the desired range by a mechanical system driven by a d.c. stepper motor. The resistive torque from the spastic ankle is measured with a sensor system consisting of strain gauges placed in a transducer shaft which rotates the pedal. The data are retrieved by a software triggered A/D board, and the results are graphed. This device, which is yet to be clinically tested, will enable therapists to quantitatively measure the degree of spasticity in patients and record small changes in their performance.>

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 machine prediction

Teacher imitation

Not 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)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0150.002

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 head0.048
GPT teacher head0.231
Teacher spread0.184 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations1
Published2002
Admission routes1
Has abstractyes

Explore more

Same topicBotulinum Toxin and Related Neurological DisordersFrench-language works237,207