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Record W2278379619 · doi:10.1017/cbo9780511544514.001

Preface

2005· book-chapter· en· W2278379619 on OpenAlexaff
Ian Calder, Adrian Pearce

Bibliographic record

VenueCambridge University Press eBooks · 2005
Typebook-chapter
Languageen
FieldArts and Humanities
TopicMedical History and Innovations
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsConversationMedicineNicePsychologyMedical educationComputer scienceCommunication

Abstract

fetched live from OpenAlex

Every anaesthetist will reach the end of his/her career with a collection of difficult airway experiences.There can be few more terrifying experiences in medical practice than the realization that a cyanosed patient is getting worse, not better, particularly when the patient was nice and pink before the anaesthetic began. Many seasoned anaesthetists recognize the change that comes over trainees after their first experience of serious difficulty with the airway. One of the editors remembers a conversation with a distinguished American paediatric anaesthetist about the difficulty of keeping up with bright young residents. Her observation that ‘a few deep paediatric desaturations sure does take the shine off'em’ was correct. All of us who have been around for some time have ‘been there’, and we know we could find ourselves in difficulty any time we give an anaesthetic.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.662
Threshold uncertainty score1.000

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 studies0.0000.001
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 head0.046
GPT teacher head0.188
Teacher spread0.143 · 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
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
Published2005
Admission routes1
Has abstractyes

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