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Record W2884849928

Spinal Cord MRS Biomarkers of Clinical Impairment in Chronic Spinal Cord Injury

2018· article· en· W2884849928 on OpenAlexfundno aff
Patrik O. Wyss, Eveline Huber, Patrick Freund, A Henning

Bibliographic record

VenueMax Planck Digital Library · 2018
Typearticle
Languageen
FieldEngineering
TopicMedical Imaging and Analysis
Canadian institutionsnot available
FundersTongji Medical College, Huazhong University of Science and TechnologySchool of Medicine, Stanford UniversityCentre Hospitalier Universitaire de RennesFeinberg School of MedicineSouthern Medical UniversityMax-Planck-Institut für Kognitions- und NeurowissenschaftenHuazhong University of Science and TechnologyUniversität ZürichAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General HospitalUniversité de MontréalCentre National de la Recherche ScientifiqueVanderbilt UniversityUniversità degli Studi di PaviaTongji UniversityInstitut National de la Santé et de la Recherche MédicaleUniversity of TorontoEidgenössische Technische Hochschule ZürichWellcome TrustPolytechnique MontréalUniversity College LondonKing's College LondonMcGill UniversityInstitut national de recherche en informatique et en automatique (INRIA)Aix-Marseille UniversitéVanderbilt University Medical CenterJohns Hopkins UniversityNorthwestern University
KeywordsMedicineSpinal cord injurySpinal cordPhysical medicine and rehabilitation
DOInot available

Abstract

fetched live from OpenAlex

Remote neurodegenerative changes above the level of injury are present following traumatic spinal cord injury (SCI), resulting in atrophy of the cervical cord of up to 30. This study investigates the underlying biochemical changes at the cellular and molecular level which may subtend the development of atrophy using latest magnetic resonance spectroscopy in the spinal cord in healthy controls and SCI patients. Furthermore, we screen for potential MRS biomarkers investigating the association of biochemical changes and clinical outcome.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.302
Teacher spread0.280 · 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 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
Published2018
Admission routes1
Has abstractyes

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