PERIPROSTHETIC BONE DENSITY CHANGES EVALUATION USING COMPUTED TOMOGRAPHY
Bibliographic record
Abstract
The aim of this study was to examine the effect of the presence of two types of metallic intervertebral lumbar fusion implants (a porous nitinol and a hollow titanium cylindrical implants) in the implant peripheral tissue after 3, 6 and 12 months post-implantation in a lumbar sheep model in order to evaluate and compare the biofunctionality and biocompatibility of both implants. 19 sheep were used to evaluate this bone density variation using computer tomography (CT). 16 of them received both implants at either level L2–L3 or L4–L5 and 3 other non-treated animals were used as controls. Results indicated that PNT obtained a superior biofunctionality that the conventional titanium implant. However, the biocompatibility of porous nitinol seemed comparable to that of titanium – a well-known long-term implant material.
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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) | 0.002 | 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".