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Record W6931181821 · doi:10.5281/zenodo.5494469

Supplementary Content of Real-Time Muscle-In-The-Loop Optimization for Physical Rehabilitation with an Active Exoskeleton - A Paradigm Shift

2021· other· en· W6931181821 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

VenueZenodo (CERN European Organization for Nuclear Research) · 2021
Typeother
Languageen
FieldChemistry
TopicAnalytical Methods in Pharmaceuticals
Canadian institutionsGeomechanica (Canada)
FundersEuropean Commission
KeywordsExoskeletonParadigm shiftRehabilitationRehabilitation engineering

Abstract

fetched live from OpenAlex

Supplementary Content of the Dissertation "<em>Real-Time Muscle-In-The-Loop Optimization for Physical Rehabilitation with an Active Exoskeleton - A Paradigm Shift</em>", by Tiago Rodrigues, 2021, presented to the University of Aveiro and to the Department of Physics of the same institution to fulfil the necessary requirements to obtain the Master of Science Degree in Biomedical Engineering, carried out under the scientific supervision of Professor Doctor Jorge Augusto Fernandes Ferreira, Associated Professor of the Department of Mechanical Engineering at the University of Aveiro, and Doctor Guillaume Vincent Durandau, Researcher of the Neuromechanical Modeling and Engineering Lab at the University of Twente.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.762
Threshold uncertainty score0.952

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0750.000

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 head0.063
GPT teacher head0.338
Teacher spread0.275 · 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