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A response to ‘Temperature measurement after severe head injury’, Childs C <i>et al. Anaesthesia</i> 2004; 59: 192–3

2004· letter· en· W1985270046 on OpenAlexaff
Wendy M. Fallis

Bibliographic record

VenueAnaesthesia · 2004
Typeletter
Languageen
FieldMedicine
TopicAirway Management and Intubation Techniques
Canadian institutionsVictoria General Hospital
Fundersnot available
KeywordsMedicineMisinformationAnesthesiaGeneral anaesthesiaAffect (linguistics)General surgeryLaw

Abstract

fetched live from OpenAlex

As a researcher who has been involved in temperature measurement studies for over a decade it was with concern that I read the article by Childs et al. in the February edition of your journal. The comment by these authors that ‘…the mouth…is not ideal for temperature measurement in intubated patients,…’ leads me to believe that they are not abreast with the literature in this area. There have been multiple studies over the last 20 years published in peer reviewed journals, including a state-of-the-science review published in 2000, to support the use of this site in patients who are orally intubated. Further, the evidence indicates that neither the temperature of the gases flowing witihin the oral tracheal tube nor the lack of a tight seal around the tube by patients significantly affect the measurements. I trust that your readers will be informed of this misinformation and that a correction will be issued in an upcoming issue of Anaesthesia.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.020
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.015
GPT teacher head0.269
Teacher spread0.254 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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

Citations0
Published2004
Admission routes1
Has abstractyes

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