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Record W2953622592 · doi:10.1213/xaa.0000000000000446

A Case Report

2017· article· en· W2953622592 on OpenAlexaff
Yuri Koumpan, John A. C. Murdoch, Jason A. Beyea, Michael Kahn, Jaime Colbeck

Bibliographic record

VenueA & A Case Reports · 2017
Typearticle
Languageen
FieldMedicine
TopicAirway Management and Intubation Techniques
Canadian institutionsQueen's UniversityKingston General Hospital
Fundersnot available
KeywordsMedicineAirway managementAirwayIntubationEndotracheal tubeHypoventilationAnesthesiaEndotracheal intubationSurgeryRespiratory systemInternal medicine

Abstract

fetched live from OpenAlex

Airway management in trauma is a crucial skill, because patients are at risk of aspiration, hypoxia, and hypoventilation, all of which may be fatal in the setting of increased intracranial pressure. The King Laryngeal Tube reusable supraglottic airway (King Systems, Noblesville, IN) allows for temporary management of a difficult airway but poses a challenge when an attempt is made to exchange the device for an endotracheal tube, often managed by emergency tracheostomy. We describe a novel fiberoptic, video laryngoscope-assisted approach to intubation in a difficult trauma airway with an in situ King Laryngeal Tube.

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)0.001
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: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.208
Threshold uncertainty score0.870

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.339
Teacher spread0.302 · 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 designCase report
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

Citations2
Published2017
Admission routes1
Has abstractyes

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