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Record W4287448792 · doi:10.1097/gox.0000000000004437

A New Technique for Breast Pocket Adjustment: Argon Beam Thermal Capsulorrhaphy

2022· article· en· W4287448792 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePlastic & Reconstructive Surgery Global Open · 2022
Typearticle
Languageen
FieldMedicine
TopicBreast Implant and Reconstruction
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsArgonThermalBeam (structure)Materials scienceComputer scienceOpticsPhysicsAtomic physics

Abstract

fetched live from OpenAlex

Implant malposition remains one of the main complications of aesthetic breast augmentation and alloplastic breast reconstruction with expanders and implants. Many capsulorrhaphy techniques have been described to adjust the breast pocket and correct the malposition. In this study, we tested the efficacy of the argon beam coagulator (ABC) for lateral capsulorrhaphy on breast reconstruction patients at the time of expander replacement with a permanent implant. We also experimentally compared the effects of the ABC and the standard electrocautery on fragments of healthy breast capsule. We noted a 69.5% capsule shrinkage with the ABC versus 46.8% with the standard electrocautery. We concluded that breast capsulorrhaphy using the ABC is a safe and efficient technique for the correction of breast implant malposition in both reconstructive and aesthetic breast 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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.895
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.019
GPT teacher head0.261
Teacher spread0.242 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it