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Sickness Rate of Service Dogs in Cynological Centers of Ukraine

2022· article· en· W4313167716 on OpenAlex
T. M. Suprovych, M. P. Suprovych, SVITLANA V. LIGHTER-MOSKALYUK, VYACHESLA V. TRACH, TETIANA S. TOKARCHUK

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 Horizons · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEnteritisService (business)DiseaseLaw enforcementAlimentary tractIncidence (geometry)Family medicineMedical emergencyEnvironmental healthVeterinary medicineInternal medicineBusiness

Abstract

fetched live from OpenAlex

Service dogs are an important asset of law enforcement agencies. Therefore, understanding their medical problems, knowing general characteristics such as numbers, age, breed, gender, and purpose is crucial to maintaining their health and readiness to perform complex tasks. Analysis and dissemination of such information is an urgent task for specialists and scientists dealing with the problems of keeping, providing, and veterinary care for service dogs. The purpose of this study was to analyse the results of statistical reports on the incidence of service dogs from 24 regional canine centres of law enforcement agencies of Ukraine. In total, data on 822 service dogs and records of 839 cases of diseases were considered. Data on the number, age, gender, and direction of use of service dogs were also analysed. It was found that internal non-contagious ailments were identified among the diseases. Most of the problems were with the gastrointestinal tract: dyspepsia, alimentary enteritis, and gastritis. It was found that among the diseases of the visual and hearing organs, otitis media and cataracts were most often detected. Traumatic injuries accounted for 16.7% of all records, most of which were classified as wounds. It was found that every seventh disease was related to the skin. Among them, two diseases had a considerable predominance: dermatitis and eczema. Another group was detected with a frequency of more than 5% – parasitic diseases, of which babesiosis was the most common. The study also found that one in twenty animals had diseases of the musculoskeletal system, of which arthritis and hip dysplasia were mainly found. Statistical calculations have shown heterogeneity in the distribution density of dogs, both in relation to the population and the area of the region. Chernivtsi Oblast had the best density indicators, and Zhytomyr Oblast had the lowest. Among service dogs, females have an advantage – sexual differentiation was 1/1.15. An even distribution of the number of service dogs by age was found, ranging from 2 to 7 years, with a weighted average age of 4.9 years. The most common breeds were: German and Belgian shepherds, as well as Labrador. Special and search dogs prevailed for their intended purpose. The practical value of this study lies in the fact that certain patterns of morbidity of service dogs provide an opportunity to change the strategy of their selection, training, and treatment to use this valuable resource more effectively.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.270
Threshold uncertainty score0.295

Codex and Gemma teacher scores by category

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 integrity0.0000.000
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 head0.022
GPT teacher head0.314
Teacher spread0.292 · 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