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Record W4308507970 · doi:10.32718/nvlvet10707

The spread of dogs’ otitis in Odesa city

2022· article· en· W4308507970 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueScientific Messenger of LNU of Veterinary Medicine and Biotechnology · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicDiscourse Analysis and Cultural Communication
Canadian institutionsnot available
Fundersnot available
KeywordsOtitisBreedGerman Shepherd DogMedicineBeagleVeterinary medicineLabrador RetrieverSurgeryAnimal scienceBiologyInternal medicine

Abstract

fetched live from OpenAlex

Inflammation of the external ear in dogs is a widespread pathology in 20 % of sick animals that come to veterinary medicine clinics. The purpose of the work was to monitor the spread of otitis in dogs for 2021 in Odesa. To solve this goal, several tasks were set: to study the spread of otitis among dogs by breed, age, and sex; to study the spread of Malassezia otitis among dogs; to determine the seasonality of otitis in dogs. The data from the journal of registration of sick animals of the veterinary clinic of Odessa (VetKOiN) served as the material. Data concerning sick animals from the logbook were entered into tables, and statistical analysis was carried out. Dogs of Pugs and Mestizo made up the most significant number of sick animals with otitis (10.4 % each); the French Bulldog breed accounts for 9.1 %, the Pekinese and Labrador breeds – 6.5 % each, the Clamber Spaniel breed – 5.2 %. Such dog breeds as Jack Russell Terrier, Chihuahua, Spitz, German Shepherd, and Cane Corso account for 3.9 %; Bull Terrier, East European Shepherd, and Retriever – 2.6 % each; Grünendal, Husky, Samoyed, Kangal, Dachshund, Scottish Shepherd, Shar-Pei, Bolonka, Beagle, American Cocker Spaniel, Shih-Tzu, Laika, Fox Terrier, Staffordshire Terrier, Pit Bull Terrier, American Bully, Breton, Bernese Mountain Dog, English Bulldog breeds – 1.3 % each. Animals between the ages of 1 and 5 years suffer mostly from canine otitis (64 %) and animals under the age of 1 year suffer less(10 %). Animals older than five years make up 26 %. The gender of dogs is not important in otitis spreading: females account for 49 % of sick animals, and males – 51 %. Malassezia otitis in dogs occurred in 38 % of cases. Dogs of Pug breeds comprised the largest percentage of sick animals (13.8 %), French bulldog and Pekingese breeds – (10.3 % each). The Bull Terrier, Jack Russell Terrier, and Chihuahua breed each account for 6.9 %. Otitis was registered every month during the year. An increase in the incidence was observed in April (9.1 %), May (13.0 %), June (7.8 %), July (15.6 %), August (13.0 %), September (10.4 % ) and November (10.4 %). So otitis was more often registered in dogs in the warm season. In the future, the spread, etiology, and most effective treatment regimens of various forms of otitis in dogs will be studied.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.788
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.077
GPT teacher head0.364
Teacher spread0.286 · 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