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Record W2205673702

고관절 이형성을 지닌 Retriever에서 대퇴골두 절단술의 적용

2003· article· ko· W2205673702 on OpenAlexaboutno aff
고희곤, 정순욱, 김준영, 정만복, 한현정, 김지선

Bibliographic record

Venue한국임상수의학회지 · 2003
Typearticle
Languageko
FieldVeterinary
TopicVeterinary Orthopedics and Neurology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLamenessOstectomyHip dysplasiaLabrador RetrieverFemoral headSurgeryRange of motionRadiography
DOInot available

Abstract

fetched live from OpenAlex

This study was performed to evaluate the postoperative healing process according to lameness degree, swelling, and muscle atrophy after femoral head and neck ostectomy on Retriever dogs with hip dysplasia and hindleg lameness. Femoral head and neck ostectomy (FHO) was performed for the repair of hip dysplasia in 4 Retriever dogs (5 hips) referred in teverinaty medical teaching hospital of college of veterinary medicine, KonKuk University. Age (Mean±SD) of patients was 10.3±3.0 months (range, 7 to 16 months) and body weight (Mean±SD) was 28.2±3.4㎏ (range 25 to 34㎏). After FHO, all cases are treated with carprofen (2.2㎖/㎏, PO bic, tapering at interval 1-2 weeks) and phusical therapy including passive range-of-motion exercises. In all cases, lameness degree was showed V at the next day after surgery, IV at 5 to 7 days, Ⅱ-Ⅲ at 30 to 35 day, Ⅱ at 60 days, and Ⅰ at 105 to 114 days. These results suggested that femoral head and neck ostectomy was able to be performed on large breed dogs with hip dysplasia and hindleg lameness.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.057
GPT teacher head0.306
Teacher spread0.249 · 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 designCase report
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

Citations0
Published2003
Admission routes1
Has abstractyes

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