THREE-DIMENSIONAL MORPHOMETRY OF NATIVE ACETABULUM IN RELATION TO DESIGN AND IMPLANTATION OF CANINE TOTAL HIP REPLACEMENTS
Bibliographic record
Abstract
Total hip replacement (THR) has been one of the main choices in treating dysplasia and other disabling conditions of the coxofemoral joint of large-breed dogs. Quantitative data of the three-dimensional (3D) morphology of the native normal acetabulum will be helpful for better design and implantation of prosthetic components. However, 3D orientation and morphological parameters of the native acetabulum in large-breed dogs are rarely reported. The purposes of the study were to measure the values of the 3D morphological parameters of the native acetabulum in Labrador Retriever dogs, namely acetabular orientation in relation to the pelvis, as well as the radius, angle between ventral and dorsal rims, and the distance from the center to the dorsal rim of the acetabulum using a 3D CT-derived model. The data will be useful for developing a more accurate guideline for improving current THR designs and for more accurate placement of the acetabulum component during THR surgery.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".