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Record W810162327 · doi:10.3166/jesa.41.261-278

Cyberthèses. Mise en uvre d'un nouveau concept de rééducation pour paraplégiques

2007· article· fr· W810162327 on OpenAlexvenueno aff
Yves Stauffer, Mohamed Bouri, Carl Scmitt, Yves Allemand, Stany Gnemmi, Jacques Fournier, Reymond Clavel, Patrick Métrailler, Roland Brodard

Bibliographic record

VenueJournal Européen des Systèmes Automatisés · 2007
Typearticle
Languagefr
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsRehabilitationArtificial intelligenceComputer scienceRoboticsMotion (physics)Process (computing)Foundation (evidence)RobotHuman–computer interactionPhysical medicine and rehabilitationPsychologyMedicineNeurosciencePolitical scienceOperating system

Abstract

fetched live from OpenAlex

Robots are excellent tools for providing motion. Their motion is precise, stiff and as repeatable as needed. This led the Swiss Foundation for Cyberthosis (SFC) to exploit robotics jointly with the muscle electrostimulation as intelligent rehabilitation devices. A three step rehabilitation process was developed; each step has its dedicated reeducation device. The very encouraging clinical results obtained with the first system prove the rightness of the concept (Robotic system + Electrostimulation  Rehabilitation process).

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0260.007

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 head0.018
GPT teacher head0.291
Teacher spread0.273 · 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
Published2007
Admission routes1
Has abstractyes

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