Biologic Footprint Reconstruction: Rotator Cuff Repair Using Biologic Tuberoplasty
Bibliographic record
Abstract
Irreparable rotator cuff tears present significant challenges owing to tear size, tendon retraction, and poor tissue quality. This article describes a surgical approach integrating biologic tuberoplasty with rotator cuff repair, using an acellular human dermal allograft to re-establish the rotator cuff footprint and prevent bone-on-bone contact between the humeral head and acromion. Footprint reconstruction is defined as allograft coverage of the tuberosity combined with partial cuff repair that includes some contact of the native cuff over the allograft. Changing the nomenclature to "biologic footprint reconstruction" more accurately describes the procedure when combined with partial cuff repair in continuity with the allograft and avoids confusion with isolated biologic tuberoplasty. The graft alleviates pain and creates a biologic healing environment. This approach is designed to reduce surgical complexity and improve efficiency, ensuring reproducibility while restoring shoulder biomechanics and function.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".