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Record W4241176062 · doi:10.1177/229255031202000109

Delayed breast reconstruction using the inverted latissimus dorsi musculocutaneous flap: A novel approach to create ptosis and projection

2012· article· en· W4241176062 on OpenAlexaffvenue
Taiba Alrasheed, Jamil Ahmad, Toni Zhong, Stefan O.P. Hofer

Bibliographic record

VenueCanadian Journal of Plastic Surgery · 2012
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineBreast reconstructionPtosisSurgeryBreast cancerCancerInternal medicine

Abstract

fetched live from OpenAlex

The latissimus dorsi musculocutaneous flap is commonly used for delayed breast reconstruction. The authors present several technical refinements to better address the requirements for an aesthetically pleasing breast in delayed breast reconstruction including flap recipient site preparation, flap inset and breast shaping. The authors describe their modified technique using the inverted latissimus dorsi musculocutaneous flap and their experience in 27 consecutive patients following this type of delayed breast reconstruction. This novel approach provides improved breast ptosis and projection in delayed breast reconstruction.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.499
Threshold uncertainty score0.528

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.030
GPT teacher head0.233
Teacher spread0.203 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2012
Admission routes2
Has abstractyes

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