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Record W125789413

EPIDEMIOLOGICAL ASPECTS OF OTITIS EXTERNA IN DOGS

2008· article· en· W125789413 on OpenAlexaboutno aff
Viorica Mircean, Mircea Mircean, Raluca Gavrea, Vasile Cozma

Bibliographic record

VenueLucrari Stiintifice - Universitatea de Stiinte Agricole a Banatului Timisoara, Medicina Veterinara · 2008
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMicrobial infections and disease research
Canadian institutionsnot available
Fundersnot available
KeywordsOtitisCanisSarcoptes scabieiEtiologyDermatologyMedicineIncidence (geometry)BiologyPathologyScabiesSurgeryEcology
DOInot available

Abstract

fetched live from OpenAlex

According to etiology, we noticed that 26% of the otitis were parasitic, 32% allergic, 8% bacterial and each of the following were 2%: tumor, metabolic, autoimmune and cornification disorders.The parasitic agents were represented by Otodectes cynotis (69.23%), Demodex canis (23.08%) and Sarcoptes scabiei var. canis (7.69%). The mycotic otitis were divided in two: 69.23% were idiopatic and the rest of 30.77% were caused by on association of yeasts and bacterial agents.The incidence of otitis externa according to race was different, as follows: German Shepard-20%, Boxer-14%, Common race-14%, Caniche10%, Labrador-8%, West Highland White Terrier 4%, Bull Terrier-4%, Rottweiller-2%, Amstaff -2%, Bichon Maltese-2%, Alsacian Shepard-2%, Yorkshire Terrier-2%, Terra Nova2%, Fox Terrier -2%, Belgian Shepard-2%, English Bulldog-2% and Cocker Spaniel2%.Otitis externa occurred to dogs either in association with other diseases (4%), either as a consequence of subjacent diseases (44%).

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 score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
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 head0.028
GPT teacher head0.265
Teacher spread0.236 · 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
Published2008
Admission routes1
Has abstractyes

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