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Record W1661614763 · doi:10.1017/cbo9780511760310.029

Airway management in the ICU

2010· book-chapter· en· W1661614763 on OpenAlexaff
Andrew Bodenham, A. Mallick

Bibliographic record

VenueCambridge University Press eBooks · 2010
Typebook-chapter
Languageen
FieldMedicine
TopicAirway Management and Intubation Techniques
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsMedicineAirway managementAirwayIntubationAnesthesiaIntensive care medicineTracheal intubationGeneral anaesthesiaEndotracheal intubationRegional anaesthesia

Abstract

fetched live from OpenAlex

Airway management is more difficult and stressful in obstetrics, and the consequences of difficulty are more serious than in many other areas. Most problems involve general anaesthesia although airway management may be required in regional anaesthesia. One advantage of regional anaesthesia, if not the main one, is the avoidance in most cases of the need for airway support. Apart from the possible contribution of reduced training in airway management and obstetric general anaesthesia, another factor that might lead to a higher reported incidence is that trainees are now taught to declare failure earlier rather than persist with attempts to intubate. The value of a drill in the management of difficult/failed intubation has long been recognised and a modern, simplified version is offered. Care must also be taken with tracheal extubation, especially if there is a risk of laryngeal oedema, perhaps exacerbated by intubation, for example in pre-eclampsia.

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: Other · Consensus signal: Other
Teacher disagreement score0.016
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0160.010

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 head0.020
GPT teacher head0.221
Teacher spread0.201 · 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
GenreOther

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

Citations1
Published2010
Admission routes1
Has abstractyes

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