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Record W2804665638 · doi:10.1002/lio2.162

Guide design in virtual planning for scapular tip free flap reconstruction

2018· article· en· W2804665638 on OpenAlex
Jason Kass, Eitan Prisman, Brett A. Miles

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

VenueLaryngoscope Investigative Otolaryngology · 2018
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsVancouver General HospitalUniversity of British Columbia
Fundersnot available
KeywordsComputer scienceHuman–computer interactionEngineering drawingEngineering

Abstract

fetched live from OpenAlex

BACKGROUND: Virtual surgical planning (VSP), intraoperative cutting guides and stereolithographic models, provides the head and neck reconstructive surgeon with powerful tools for complex reconstruction planning. Despite its use in fibular osteocutaneous reconstruction, application to the scapular tip has not been as widely reported. METHODS: From 2013 to 2014, four cases of either mandibular or maxillary reconstruction were completed with the scapular tip osseous free flap. All four cases underwent preoperative VSP with patient-specific guide design. RESULTS: Patient-specific guides were generated for scapular tip harvest. Guide placement was improved using a stabilizing flange and bracket design. With minimal disruption of the overlying periosteum a wedge osteotomy was successfully implemented in one case. CONCLUSIONS: Unlike the fibula and iliac crest donor sites, the scapular tip has overlying muscle attachments that make intraoperative osteotomies challenging. Attention to key aspects of scapular anatomy, including the fibrous tip and extensive overlying muscle, permits effective guide design. LEVEL OF EVIDENCE: 4.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.266
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
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 head0.041
GPT teacher head0.308
Teacher spread0.267 · 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