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Record W4302806251 · doi:10.1055/a-1840-3219

Linksseitige Fazialisparese bei einer Quarter-Horse-Stute

2022· article· de· W4302806251 on OpenAlexaboutno aff
Maren Hellige

Bibliographic record

Venuepferde spiegel · 2022
Typearticle
Languagede
FieldMedicine
TopicFacial Nerve Paralysis Treatment and Research
Canadian institutionsnot available
Fundersnot available
KeywordsHorseQuarter (Canadian coin)GeographyGeologyArchaeology

Abstract

fetched live from OpenAlex

All articles of this category Die 7 Jahre alte tragende Quarter-Horse-Stute wurde aufgrund einer neurologischen Symptomatik vorgestellt. Vorberichtlich lagen seit einigen Tagen eine Kopfschiefhaltung nach links und eine reduzierte Futteraufnahme vor. Im Rahmen der klinischen Untersuchung zeigten sich ein geringgradig reduziertes Allgemeinbefinden, Fieber, Foetor ex ore, linksseitige Miosis und Enophthalmus sowie Ptosis und eine linksseitige Fazialisparese. Die Fazialisparese stellte sich klinisch mit einem hängenden linken Ohr, einer Lähmung der linken Ober- und Unterlippe sowie einem fehlenden linken Maulwinkelreflex dar. In der endoskopischen Untersuchung zeigte sich ein normaler Schluckakt. Es wurde eine latero-laterale Röntgenaufnahme der Luftsackregion angefertigt ([ Abb. 1 ]). Abb. 1 Latero-laterale Röntgenaufnahme des kaudalen Kopfbereichs und der kranialen Halswirbelsäule bei einer 7 Jahre alten Quarter-Horse-Stute.(Quelle: Stiftung Tierärztliche Hochschule Hannover [rerif]) Fragen Welche weitere Röntgenprojektion würden Sie durchführen? Wie lauten die röntgenologischen Befunde? Wie lautet Ihre Verdachtsdiagnose? Publication History Article published online: 09 August 2022 © 2022. Thieme. All rights reserved. Georg Thieme Verlag KG Rüdigerstraße 14, 70469 Stuttgart, Germany

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 score0.025
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0250.008

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 head0.026
GPT teacher head0.307
Teacher spread0.281 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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