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Record W6890248250 · doi:10.34945/f5v01q

Gait kinematic parameters and onset/offset of EMG muscle activities during overground walking in healthy female Yucatan minipigs at different speed ranges from 0.4 m/s to 1.6 m/s

2022· dataset· en· W6890248250 on OpenAlexaff

Bibliographic record

VenueUC San Diego · 2022
Typedataset
Languageen
Field
Topic
Canadian institutionsWomen and Children’s Health Research InstituteUniversity of Alberta
Fundersnot available
KeywordsKinematicsBicepsBiomechanicsElectromyographyGaitMotion captureMediusTraversePreferred walking speed

Abstract

fetched live from OpenAlex

STUDY PURPOSE: The overall goal of this study was to provide a baseline for the overground walking in the healthy Yucatan mini pigs. Specifically, we assessed the effect of overground walking speed on various gait kinematic parameters and muscle activities. DATA COLLECTED: Data were collected from nine neurologically-intact adult, female Yucatan mini pigs. The pigs were trained to traverse a straight 3.5 m walkway by following a human experimenter. A motion capture system was used for recording the biomechanics of walking. Wireless surface EMG electrodes were placed on the left and right gluteus medius (GM) muscles, the biceps femoris (BF) muscles, and the vastus lateralis (VL) muscles. For each pig, motion capture data (150 frames/sec) and EMG activity (3000 Hz) were recorded as the pigs traversed the walkway 20-120 times on a given testing day. different parameters are averaged over many strides in a specific speed range. if less than 6 strides are in a speed range, the data is excluded from the analysis. DATA USAGE NOTES:

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.730
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.000

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 head0.029
GPT teacher head0.278
Teacher spread0.249 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2022
Admission routes1
Has abstractyes

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