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Record W6999442619

Congenital anomalies of the vertebrae in dogs

2017· article· en· W6999442619 on OpenAlexfundno aff

Bibliographic record

VenueGhent University Academic Bibliography (Ghent University) · 2017
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Orthopedics and Neurology
Canadian institutionsnot available
FundersMcMaster University
KeywordsNucleofectionGestational periodHyporeflexiaTSG101HemopericardiumFusible alloyLiquationDiafiltration
DOInot available

Abstract

fetched live from OpenAlex

In this review article, a overview is given of the congenital pathologies of vertebrae in the dog. These pathologies are common in dogs and can be divided in two major groups: neural tube defects or spinal dysraphism, such as spina bifida with or without meningocoele and dermal sinus tract, and congenital anomalies of the vertebral column. The latter group can be subdivided in malformations originating in the embryonic period of development, such as butterfly vertebra, mediolateral wedged vertebra and transitional vertebra, or in the foetal period, such as block vertebra and dorsoventral wedged vertebra. Congenital vertebral anomalies can be incidental findings on radiographs or CT, but sometimes they can be the underlying cause of a clinical, mostly neurological problem. Due to pressure on the spinal cord, symptoms, such as pelvic limb ataxia, paresis, loss of spinal reflexes, incontinence and atrophy of the pelvic limbs may occur.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.052
GPT teacher head0.269
Teacher spread0.216 · 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
Published2017
Admission routes1
Has abstractyes

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