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Record W2883905492 · doi:10.21769/bioprotoc.2862

In vivo Use of Dextran-based Anterograde Cortical Tracers to Assess the Integrity of the Cortical Spinal Tract

2018· article· en· W2883905492 on OpenAlexaff
Anna M Wiersma, Ian R. Winship

Bibliographic record

VenueBIO-PROTOCOL · 2018
Typearticle
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsWomen and Children’s Health Research InstituteUniversity of Alberta
Fundersnot available
KeywordsCorticospinal tractForelimbPyramidal tractsSpinal cordNeuroscienceCortex (anatomy)AnatomyMotor cortexFiber tractGrey matterCentral nervous systemBiologyWhite matterMedicineMagnetic resonance imagingDiffusion MRIStimulation

Abstract

fetched live from OpenAlex

When injected into the motor cortex of rats, anterograde tracers label fibers of the associated descending corticospinal tract (CST) that originate from pyramidal neurons in the tracer-injected cortex. These fibers can be assessed at the level of the spinal cord to determine the integrity of the descending CST and the spatial distribution of axons in the spinal grey matter. Here we provide detailed methods on the minimally invasive stereotaxic injection of anterograde tracers into the forelimb sensorimotor representation in the rat cortex. In addition, we detail the fixing and processing of spinal tissue for assessment of CST integrity and branching into spinal grey matter.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Protocol · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.128
GPT teacher head0.405
Teacher spread0.277 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreProtocol

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 routes1
Has abstractyes

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