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Record W7120773572

Flash-visual evoked potential in dogs, sheep and horses

2014· dissertation· pt· W7120773572 on OpenAlexaboutno aff
Mariana Isa Poci Palumbo

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2014
Typedissertation
Languagept
FieldNeuroscience
TopicNeuroscience and Neural Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsSedationXylazineEvoked potentialDetomidineLabrador Retriever
DOInot available

Abstract

fetched live from OpenAlex

The visual evoked potential (VEP) is an electrodiagnostic test that detects and records the electrical activity in the visual central pathway. The VEP has applicability in veterinary neurology, but the test is not routinely used in Brazil. The aims of this study were obtain normative data of flash-VEP from dogs, sheep and horses. PEV were obtained with monopolar needle electrodes placed in O1 and O2 (active), Fpz (common reference) and Cz (ground). VEP obtained from 17 dogs, 17 sheep and 17 horses were included in the normative study. Both eyes were evaluated, totaling 34 results in each species. The most consistent result in all tests was an electropositive deflection, with a mean latency of 55.4 ms in dogs (P55), 63.75 ms in sheep (P63), and 52.76 ms in horses (P53). All tests also allowed the identification of 2 electronegative deflections: N31 and N75 in dogs, N42 and N86 in sheep, N38 and N72 in horses. The F-VEP was also performed in 3 horses before and during sedation with different doses of xylazine (0.4 and 1.1 mg/kg) or detomidine (0.005 and 0.014 mg/kg). Sedation significantly affected the results, even at the lower dose. It was concluded that the BAEP is a useful and safe test to evaluate the visual central pathway. The obtained data and methodology used in this study will be useful for comparison with the results obtained from animals with different injuries related to the central visual pathway

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.750
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.259
Teacher spread0.241 · 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 designBench or experimental
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
Published2014
Admission routes1
Has abstractyes

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