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Record W2149831997

NEUROMUSCULAR RESPONSE OF THE TRUNK FOLLOWING INERTIAL-BASED PERTURBATIONS WITH WHOLE-BODY VIBRATION EXPOSURE

2013· book· en· W2149831997 on OpenAlexaff
Danielle MacIntyre

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2013
Typebook
Languageen
FieldMedicine
TopicEffects of Vibration on Health
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsWhole body vibrationTrunkPhysical medicine and rehabilitationMedicineVibrationPhysical therapyPhysics
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study was to evaluate the effects of vibration exposure on the neuromuscular responses to inertial-based trunk perturbations. Thirteen, male participants (mean = 22.5 yrs ± 3.2) were assigned to one of two experimental groups: 1) participants not exposed to vibration (control group - CG, n=6), and, 2) participants exposed to vibration (vibration group - VG, n=7) throughout the protocol. Participants experienced 40 perurbations, of which half were in known and unknown directions. Data from trunk sEMG, motion capture markers and seat accelerometers were anaylzed. Repeated measures ANOVA with Tukey's post hoc test were used to determine statistical significance (p<0.05). Participants in CG had a 14% faster muscle onset time than VG. Antagonistic muscle onset times were faster than agonists in both groups. Perturbations of known direction did not show any anticipation effects both in sEMG amplitude and in L4-5 joint angle.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.808
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.013
GPT teacher head0.225
Teacher spread0.212 · 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 designObservational
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
Published2013
Admission routes1
Has abstractyes

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