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Record W2948587928 · doi:10.1089/ve.2018.0147

Ministernotomy for Thyroid Surgery

2019· article· en· W2948587928 on OpenAlexaff
Samuel Flatman, Matthew J. R. Magarey, Marcelo Cypel, Jeremy L. Freeman

Bibliographic record

VenueVideoEndocrinology · 2019
Typearticle
Languageen
FieldMedicine
TopicThyroid and Parathyroid Surgery
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsThyroidMedicineGeneral surgeryInternal medicine

Abstract

fetched live from OpenAlex

Ministernotomy for thyroid surgery is a useful approach for mediastinal and retrosternal goitres. A ministernotomy involves a midline osteotomy from the sternal notch down the manubrium to the second intercostal space, where a second horizontal osteotomy is performed. A thyroidectomy is attempted first through a cervical approach, before a powered saw is used to make the osteotomies and a sternal retractor used to access the mediastinum, and a total thyroidectomy then completed. The sternum is closed with wires as a drain is placed and the wound closed in layers. The advantages, compared with a conventional sternotomy that continues from sternal notch to xiphoid process, include a smaller incision, decreased pain, faster recovery, shorter hospital stay, and fewer complications.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0220.005

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 head0.026
GPT teacher head0.285
Teacher spread0.259 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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
Published2019
Admission routes1
Has abstractyes

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