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Record W2770135334 · doi:10.21037/jtd.2017.11.88

New era of “resection of the carina and lower trachea”

2017· letter· en· W2770135334 on OpenAlexaff
Hideki Ujiie, Kazuhiro Yasufuku

Bibliographic record

VenueJournal of Thoracic Disease · 2017
Typeletter
Languageen
FieldMedicine
TopicTracheal and airway disorders
Canadian institutionsToronto General HospitalUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineResectionGeneral surgerySurgery

Abstract

fetched live from OpenAlex

It has been more than half a century since Abbott reported their experience on carinal resection and reconstruction (1). Tracheal surgery still remains challenging despite improvements in surgical and anesthetic techniques, resulting in thoracic surgeons exploring a new era of “resection of the carina and lower trachea” (2). Minimally invasive thoracic surgery has been widely extended for the resection of peripheral early stage lung cancer. Video-assisted thoracoscopic surgery (VATS) lobectomy and sublobar resection have become a common procedure. Complete resection and reconstruction of the carina or trachea with VATS and airway management remain challenging. Only few reports of VATS tracheal or carinal resection and reconstruction have been published (3-8). Li and colleagues examined the feasibility of VATS in the treatment of benign and malignant diseases involving the carina and trachea, and made comparisons with relevant techniques (3).

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)0.001
metaresearch head score (Gemma)0.003
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: Editorial · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0010.004
Open science0.0010.001
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0030.002

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 head0.018
GPT teacher head0.311
Teacher spread0.293 · 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
GenreEditorial

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

Citations10
Published2017
Admission routes1
Has abstractyes

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