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Record W1949965248 · doi:10.3109/02688697.2015.1063587

A simple method for controlled reduction duraplasty during cranioplasty

2015· article· en· W1949965248 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

VenueBritish Journal of Neurosurgery · 2015
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Surgical Oncology
Canadian institutionsSunnybrook Health Science CentreUniversity of Toronto
Fundersnot available
KeywordsCranioplastyMedicineReduction (mathematics)SurgerySimple (philosophy)Skull

Abstract

fetched live from OpenAlex

BACKGROUND: Bone flap re-approximation during cranioplasty can be complicated by underlying pseudomeningocele or meningoencephalocele. A technique for controlled reduction duraplasty to aid bone flap positioning is suggested. METHODS: A simple method using bipolar electrocautery in a predetermined radial pattern from the center of defect is described. Localized tissue contraction allows controlled reduction in the surface area and degree of protrusion. This in turn facilitates bone flap positioning. RESULTS: The main advantage of this technique is slow and evenly distributed pressure conferred by controlled tissue contraction using multiple radial coagulation lines. No technical difficulties or complications have occurred with this method during cranioplasty for 11 patients. CONCLUSION: This simple technique for controlled reduction duraplasty can provide an easy and efficient method for bone flap re-approximation, and add to the existing techniques for a commonly performed procedure.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.459
Threshold uncertainty score0.479

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
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 head0.037
GPT teacher head0.325
Teacher spread0.288 · 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