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Record W4382010421 · doi:10.15421/022305

Peculiarities of the course of demodicosis in domestic animals in a megalopolis in the east of Ukraine

2023· article· en· W4382010421 on OpenAlex
Аnatoliy Paliy, О. В. Павліченко, Сергій Михайлович Касяненко, Л. В. Коваленко, Aleksandr Stockiy, Ольга Ігорівна Стоцька

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

VenueRegulatory Mechanisms in Biosystems · 2023
Typearticle
Languageen
FieldMedicine
TopicDermatological diseases and infestations
Canadian institutionsnot available
Fundersnot available
KeywordsDemodicosisBiologyVeterinary medicineMiteDermatologyMedicineEcology

Abstract

fetched live from OpenAlex

Demodicosis in domestic animals occupies a leading place among dermatological diseases. It has considerable epizootological and social significance. Peculiarities of the manifestation of demodicosis in dogs and cats were studied in the city of Kharkiv during 2017–2021. Doberman Pinscher, mestizo, German Shepherd, Rottweiler, Staffordshire Terrier, and outbred animals were the most commonly affected by demodicosis, accounting for 61.6% of the total number of patients. The lowest number of animals with demodicosis was registered in such breeds as Dalmatian, Great Dane, Caucasian Shepherd, Collie, Labrador, Husky, Pekingese, and Chow Chow with a total number of 4.6%. Demodicosis is most common in Persian white, European tiger, and Siamese colour point cats, accounting for 57.3%. Norwegian forest, Russian blue, and Oriental shorthair cats are rarely affected by demodicosis, accounting for 13.5% of all animals. Demodicosis most often affects animals aged from 2 months to 3 years in winter, and in summer and autumn, the incidence is lowest. Peculiarities of sexual predisposition of animals to demodicosis infection have not been established. The microbes affecting the skin of animals are transmitted by mites Demodex spp. and are represented by Staphylococcus spp., Streptococcus spp., Enterobacter spp., Enterococcus spp., Micrococcus spp., Alternaria alternata, Aspergillus niger, Candida spp., Rhizopus nigricans, Penicillum spp., Malassezia spp., Microsporum canis. Staphylococcus spp. and Streptococcus spp. occupy the largest percentage of the total number of isolated microorganisms – 74.7%, and Micrococcus spp. occupy the lowest percentage of isolated microorganisms (6.2%). Staphylococcal susceptibility to nine tetracycline drugs has shown a high level of resistance. The most effective antimicrobial agent for isolated cultures of staphylococci is amoxicillin in combination with clavulanic acid (89.7%) and vancomycin (100.0%). The objective of further research is to develop effective schemes for the prevention and treatment of pets with demodicosis.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.613
Threshold uncertainty score0.313

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.026
GPT teacher head0.296
Teacher spread0.270 · 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