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Record W2995018999 · doi:10.1016/j.ebr.2019.100352

Seizure-induced thoracolumbar burst fractures — Not to be missed

2019· article· en· W2995018999 on OpenAlexaff
Aaron Robichaud, Tricia K. Barry, Sean Barry

Bibliographic record

VenueEpilepsy & Behavior Reports · 2019
Typearticle
Languageen
FieldMedicine
TopicSpinal Fractures and Fixation Techniques
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineClearanceBurst fractureSpinal fractureIctalPhysical examinationRadiographySurgeryNeurological examinationEpilepsyPsychiatry

Abstract

fetched live from OpenAlex

While rare, post-ictal thoracolumbar burst fractures are commonly missed due to confounding factors, resulting in delayed treatment and the potential for serious neurological deficits. This paper serves as a call for a high-degree of clinical suspicion when treating post-ictal patients to ensure they undergo a focused neurological examination of the lower extremities. If unresponsive/uncooperative, spinal precautions should be maintained until the spine can be cleared clinically or radiographically. In all events, if the patient is complaining of musculoskeletal pain possibly originating from the spine, radiographic evaluations are warranted to prevent possible deficits caused by a missed thoracolumbar fracture.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.444
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.035
GPT teacher head0.361
Teacher spread0.326 · 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

Citations6
Published2019
Admission routes1
Has abstractyes

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