Discussion: Managing Late Periprosthetic Fluid Collections (Seroma) in Patients with Breast Implants: A Consensus Panel Recommendation and Review of the Literature
Bibliographic record
Abstract
Banff, Alberta, Canada From private practice. Received for publication March 9, 2011; accepted March 10, 2011. Disclosure:The author has no financial interests to declare in relation to the content of this Discussion or of its associated article. The views, opinions, and techniques set forth in this article addressing anaplastic large cell lymphoma in women with breast implants are those of the individual author(s) and do not reflect the views, opinions, or recommendations of the American Society of Plastic Surgeons, the Journal or the Journal editors. Any treatment recommendations contained in the article are those of the individual author(s) and are not to be considered or construed as practice guidelines, practice standards, or practice parameters. The use of any treatment technique described in the article is at the sole discretion of the physician in the exercise of his or her independent medical judgment taking into account the patient's individual circumstances. Elizabeth J. Hall-Findlay, M.D., 317 Banff Avenue, Suite 340, P.O. Box 2009, Banff, Alberta, T1L 1B7, Canada, [email protected]
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".