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Record W2323186008 · doi:10.1097/acc.0b013e31829459d0

Thoracoscopic Wedge Resection of the Lung Using High-Frequency Jet Ventilation in a Postpneumonectomy Patient

2013· article· en· W2323186008 on OpenAlexaff
Jens Lohser, Sean R. McLean

Bibliographic record

VenueA & A Case Reports · 2013
Typearticle
Languageen
FieldMedicine
TopicPleural and Pulmonary Diseases
Canadian institutionsUniversity of British ColumbiaVancouver General Hospital
Fundersnot available
KeywordsJet ventilationWedge resectionMedicinePneumonectomyLungWedge (geometry)Ventilation (architecture)SurgeryResectionThoracoscopyAnesthesiaInternal medicine

Abstract

fetched live from OpenAlex

A 61-year-old female ex-smoker presented with a suspicious right lower lobe mass after previously undergoing a left pneumonectomy. Due to the peripheral nature of the lung lesion, a right thoracoscopic wedge resection was proposed by the surgical team. Adequate ventilation, oxygenation, and surgical conditions were obtained using high-frequency jet ventilation to the operative lung throughout the procedure. The trachea was extubated in the operating room, and the patient recovered uneventfully from the procedure. This case demonstrates the feasibility of limited thoracoscopic lung resections postpneumonectomy with the use of high-frequency jet ventilation.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.100
Threshold uncertainty score0.915

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.016
GPT teacher head0.273
Teacher spread0.257 · 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

Citations9
Published2013
Admission routes1
Has abstractyes

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