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Record W2133863903 · doi:10.1136/vr.146.19.551

Gender, age and breed pattern of diagnoses for veterinary care in insured dogs in Sweden during 1996

2000· article· en· W2133863903 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueVeterinary Record · 2000
Typearticle
Languageen
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsUniversity of Guelph
FundersSvenska Kennelklubben
KeywordsBreedMedicinePyometraMedical diagnosisVeterinary medicineRetrospective cohort studySex organEtiologyPediatricsSurgeryInternal medicinePathologyBiologyAnimal scienceUterus

Abstract

fetched live from OpenAlex

More than 200,000 dogs insured for veterinary care by one Swedish company at the beginning of 1996 were included in a retrospective cross-sectional study. Data from receipts for visits to veterinarians that were part of reimbursed veterinary care events, whose cost exceeded the deductible cost, were used to calculate the risk of cause-specific morbidity, both in total and stratified by gender, age and breed. Diagnoses were described by organic system, for example, cardiovascular, and by disease process, for example, neoplastic The most commonly affected system was the integument followed by the gastrointestinal and genital systems. The genital system was the most commonly affected system in females, within which 50 per cent of the affected bitches had pyometra. Inflammatory processes were most common, followed by symptomatic conditions, traumatic injuries and neoplastic conditions.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.420
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.098
GPT teacher head0.373
Teacher spread0.275 · 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