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Record W2941808121 · doi:10.1638/2012-0118

ENDOSCOPIC REMOVAL OF A FOREIGN BODY IN A MEXICAN AXOLOTL (AMBYSTOMA MEXICANUM) WITH THE USE OF MS222-INDUCED IMMOBILIZATION

2019· article· en· W2941808121 on OpenAlexaff
Patrick Burns, Isabelle Langlois, Marilyn Dunn

Bibliographic record

VenueJournal of Zoo and Wildlife Medicine · 2019
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Pharmacology and Anesthesia
Canadian institutionsCegep de Saint Hyacinthe
Fundersnot available
KeywordsAmbystoma mexicanumAxolotlAnestheticAnesthesiaForeign bodyMedicineChemistrySurgeryBiologyRegeneration (biology)

Abstract

fetched live from OpenAlex

This communication briefly describes the use of tricaine methanesulfonate (MS222) to induce chemical restraint/general anesthesia of a Mexican axolotl (Ambystoma mexicanum) for the endoscopic retrieval of a gastric foreign body. There is very little published scientific literature concerning the anesthesia of Mexican axolotls. The anesthesia used in this case was an immersion bath of tricaine methanesulfonate where the concentration of tricaine methanesulfonate was gradually increased to 500 mg/L (ppm) over a 15-min period. A loss of righting reflex was observed within 3 min of attaining the final concentration of the anesthetic bath. The first voluntary movements following the transfer to a freshwater bath occurred within 7 min. The recovery was uneventful. Tricaine methanesulfonate in this case proved to be an effective anesthetic agent for a short, minimally invasive procedure.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.001

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.064
GPT teacher head0.317
Teacher spread0.252 · 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

Citations5
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Zoo and Wildlife MedicineSame topicVeterinary Pharmacology and AnesthesiaFrench-language works237,207