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Record W1966381631 · doi:10.7589/0090-3558-46.2.655

Skin Microbial Flora and Effectiveness of Aseptic Technique for Deep Muscle Biopsies in Weddell Seals (Leptonychotes weddellii ) in McMurdo Sound, Antarctica

2010· article· en· W1966381631 on OpenAlexaff
Jo‐Ann E. Mellish, Pam Tuomi, Allyson G. Hindle, S.S. Jang, Markus Horning

Bibliographic record

VenueJournal of Wildlife Diseases · 2010
Typearticle
Languageen
FieldImmunology and Microbiology
TopicRabies epidemiology and control
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsBiologyBiopsySound (geography)Pectoralis major muscleLongissimus dorsiAnatomyVeterinary medicinePathologyAnimal scienceMedicineOceanography

Abstract

fetched live from OpenAlex

Deep muscle biopsies were collected from the pectoralis and longissimus dorsi of wild Weddell seals (Leptonychotes weddellii) in McMurdo Sound, Antarctica, during October-December 2007. Sterile swabs were collected from the surface of each skin site before biopsy and from the deep-needle path after biopsy. No growth occurred in two of six pectoralis and three of six longissimus skin sites, or in four of 10 pectoralis deep biopsy and eight of 12 longissimus deep-biopsy sites. Positive skin culture was not predictive of deep-biopsy contamination, nor did contamination at one body location correlate with contamination at the second site. Psychrobacter species were most common in one or more samples from each of the four sample types. Only one of the eight documented bacteria exhibited resistance to commonly used antibiotics.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.006
GPT teacher head0.255
Teacher spread0.249 · 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

Citations9
Published2010
Admission routes1
Has abstractyes

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