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Record W3044176293 · doi:10.1136/vetreccr-2019-000990

Spinal stabilisation using a polyvinilidine (Lubra) plate in a pot‐bellied pig

2020· article· en· W3044176293 on OpenAlexaff
Aude Castel, Vincent Doré, Connie Fazio

Bibliographic record

VenueVeterinary Record Case Reports · 2020
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Orthopedics and Neurology
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineParaplegiaSubluxationSurgerySpinal fractureRadiographyVertebraSpinal columnVertebral columnSpinal surgeryAnatomySpinal cordPathology

Abstract

fetched live from OpenAlex

SUMMARY A three‐month‐old pot‐bellied pig presented for acute paraplegia following a presumptive fall. CT examination identified a vertebral subluxation of L1–L2 with a comminuted fracture of the L1 vertebra. Spinal stabilisation was performed with polyvinilidine (Lubra) plates. The pig improved neurologically and regained the ability to walk. Spinal radiographs six weeks following surgery revealed partial failure of the plates in the caudal aspect of the vertebral column and suspected pressure atrophy of spinous processes. Eighteen months later, the plates were piercing through the skin, so they were removed surgically and the pig did well from then on. This case report describes the feasibility of spinal stabilisation in a pot‐bellied pig associated with a good outcome, but also reveals potential complications and spinal changes that can be observed after use of polyvinilidine plates in this species.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0040.001
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 head0.206
GPT teacher head0.359
Teacher spread0.153 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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