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Record W2007680639 · doi:10.1080/10255842.2015.1032944

Quantifying the internal deformation of the rodent spinal cord during acute spinal cord injury – the validation of a method

2015· article· en· W2007680639 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueComputer Methods in Biomechanics & Biomedical Engineering · 2015
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsUniversity of British ColumbiaInternational Collaboration On Repair Discoveries
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSpinal cord injurySpinal cordMedicineRodent modelPhysical medicine and rehabilitationInternal medicine

Abstract

fetched live from OpenAlex

Visualization and analysis of the rodent spinal cord subject to experimental spinal cord injury (SCI) has almost completely been limited to naked-eye observations, and a single measure of gross spinal cord motion due to injury. This study introduces a novel method which utilizes MRI to quantify the deformation of the rodent spinal cord due to imposed, clinically-relevant injuries - specifically, cervical contusion and dislocation mechanisms. The image registration methods were developed using the Advanced Normalization Tools package, which incorporate rigid, affine and deformable registration steps. The proposed method is validated against a fiducial-based, 'gold-standard' measure of spinal cord tissue motion. The validation analysis yielded accuracy (and precision) values of 62 μm (49 μm), 73 μm (79 μm) and 112 μm (110 μm), for the medio-lateral, dorso-ventral and cranio-caudal directions, respectively. The internal morphological change of the spinal cord has never before been quantified, experimentally. This study demonstrates the capability of this method and its potential for future application to in vivo rodent models of SCI.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.547
Threshold uncertainty score0.601

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.105
GPT teacher head0.462
Teacher spread0.357 · 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