Bibliographic record
Abstract
Neck/cup impingement is a serious issue, especially with hard/hard bearings. It can produce noise, locking mechanism failure, and an increase in wear debris and dislocation. The double taper neck used by the author has cogs on the neck/stem taper junction for additional rotational stability. One hundred forty-six procedures were performed using the thin mantle cement technique. Mean follow-up was 5 years (range, 3-8 years). A 32-mm neck was used in 73.8% of cases and a 35-mm neck in 26.2%, because most of the patients were elderly women. The neck was anteverted in 1.4%, neutral in 26.4%, and retroverted in the rest (mild in 34.2%, moderate in 14.3%, and maximum in 13.4%). There were no dislocations and no loosenings. Problems were encountered with the neck/stem taper in 3 cases. The stem was therefore taken off the market. The taper was lengthened and the strength doubled. Since its reintroduction 3 years ago, a further 187 cemented stem procedures have been performed with no failures and no dislocations. Of interest in this series, no necks were anteverted, 23.5% were in neutral, 35.8% were in mild retroversion, 31.1% were in moderate retroversion, and 9.6% were in maximal retroversion. Most necks were placed in retroversion to avoid impingement. This suggests that if a nonmodular neck had been used, some degree of impingement would have occurred in 70% of cases.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".