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Record W3165163545 · doi:10.1002/vrc2.70

Delayed traumatic pneumocephalus and cervical pneumorrhachis in a dog

2021· article· en· W3165163545 on OpenAlexaboutno aff
M. V. Moral, Carlos Blanco, J. Nebot Martínez, Valentina Lorenzo

Bibliographic record

VenueVeterinary Record Case Reports · 2021
Typearticle
Languageen
FieldMedicine
TopicPneumothorax, Barotrauma, Emphysema
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePneumocephalusTetraparesisEnucleationNeurological examinationSurgeryAnesthesiaStatus epilepticusEpilepsyMagnetic resonance imagingRadiologyComputed tomography

Abstract

fetched live from OpenAlex

Abstract A 7‐year‐old female spayed Labrador Retriever was referred for generalised seizures which initiated 48 hours prior to presentation. Physical examination revealed facial asymmetry and enucleation of the right eye due to head trauma 6 years earlier. Neurological examination showed depressed mental status, absent menace response of the left eye, non‐ambulatory tetraparesis, absent postural reactions in all four limbs and normal spinal reflexes. Neuroanatomical localisation was prosencephalic (forebrain). MRI study of the brain allowed a diagnosis of pneumocephalus and pneumorrhachis as the cause of neurological signs. The dog was hospitalised and treated conservatively with anticonvulsants, antimicrobials and oxygen therapy. During hospitalisation, no further seizures were observed, the neurological condition improved progressively, and the dog was discharged with oral anticonvulsant treatment 4 days after admission. Eight months later, the dog was still seizure‐free, and the follow‐up MRI showed no lesions consistent with the previously diagnosed pneumocephalus and pneumorrhachis.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0050.002
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 head0.039
GPT teacher head0.317
Teacher spread0.278 · 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 designCase report
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

Citations3
Published2021
Admission routes1
Has abstractyes

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