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Record W2048591554 · doi:10.1097/pec.0b013e3181aba8c1

Fibreoptic and Videoscopic Indirect Intubation Techniques for Intubation in Children

2009· review· en· W2048591554 on OpenAlexaff
Richard Levin, Niranjan Kissoon, Norbert Froese

Bibliographic record

VenuePediatric Emergency Care · 2009
Typereview
Languageen
FieldMedicine
TopicAirway Management and Intubation Techniques
Canadian institutionsBritish Columbia Children's Hospital
Fundersnot available
KeywordsMedicineIntubationLaryngoscopyEndotracheal intubationAirwayAnesthesiaEmergency departmentLaryngoscopesIntensive care medicine

Abstract

fetched live from OpenAlex

Endotracheal intubation in the pediatric emergency department can be challenging. Direct laryngoscopy is the primary intubation technique used in pediatric emergency intubations. However, cases arise where abnormalities of the upper airway prevent a direct view of the laryngeal opening. Under these circumstances, indirect means of visualization of the laryngeal opening using fiberoptic and videoscopic devices can be used to successfully achieve intubation. A wide range of instruments including flexible, rigid, and semirigid devices are available. Those who practice emergency medicine should be aware of these devices and be skilled in their use and aware of their limitations.

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)0.001
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: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.022
GPT teacher head0.340
Teacher spread0.319 · 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
GenreReview

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

Citations13
Published2009
Admission routes1
Has abstractyes

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