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Record W2902685731 · doi:10.18192/osurj.v1i1.3681

Shocking the brain to regain motor function : a non-invasive therapy for stroke patients

2018· article· en· W2902685731 on OpenAlexaffvenue
Michael Min Wah Leung

Bibliographic record

VenueUniversity of Ottawa Science Undergraduate Research Journal · 2018
Typearticle
Languageen
FieldNeuroscience
TopicTranscranial Magnetic Stimulation Studies
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsTranscranial direct-current stimulationStroke (engine)Context (archaeology)NeuroscienceBrain stimulationStimulationMedicinePhysical medicine and rehabilitationScalpPsychologySurgeryBiology

Abstract

fetched live from OpenAlex

Invasive treatments and its associated risks are important factors of concern when the conditions are affecting the nervous system. Transcranial direct current stimulation (tDCS) is a non-invasive technique that stimulates brain areas through the scalp and has excitatory or inhibitory neuromodulatory effects. In the context of stroke patients, recovery is often impaired from the increased inhibition of the damaged area from the unaffected hemisphere. Fujimoto et al. uses dual-hemisphere transcranial direct current stimulation to address this interhemispheric inhibition and demonstrates that stroke patients were able to periodically restore sensory deficits.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.791
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.003
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.070
GPT teacher head0.333
Teacher spread0.264 · 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.

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

Citations0
Published2018
Admission routes2
Has abstractyes

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