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Record W6959089222 · doi:10.7591/9781487595975

Anaesthesia and Resuscitation: A manual for medical students (Second edition)

2023· article· en· W6959089222 on OpenAlexaboutno aff

Bibliographic record

VenueProject Muse (Johns Hopkins University) · 2023
Typearticle
Languageen
FieldMedicine
TopicBiomedical and Chemical Research
Canadian institutionsnot available
Fundersnot available
KeywordsResuscitationGeneral anaesthesiaRegional anaesthesiaMEDLINEMedical practice

Abstract

fetched live from OpenAlex

As in most fields of medical practice many things in anaesthesia are done on an empirical basis: this speciality is dynamic and expanding, and today's dogma may become tomorrow's error. This introductory manual, now revised and updated in a second edition, was prepared by the Department of Anaesthesia in Canadian medical schools and provides the undergraduate medical student with an important foundation for wider knowledge in the realm of anaesthesiology. Contents include Anaesthesia in relation to surgery , Evaluation of the patient before anaesthesia, Preanaesthetic medication, General anaesthesia, Neuromuscular transmission and muscle relaxation, Regional anaesthesia, Care of the unconscious patient, Respiration and anaesthesia, Cardiovascular homeostasis in relation to anaesthesia and resuscitation, Fluid and electrolyte balance, Acid-base balance, Complications of anaesthesia, Postoperative problems and care, Obstetrical anaesthesia and resuscitation of the newborn, and Special considerations in paediatric 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 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)0.003
metaresearch head score (Gemma)0.011
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.083
Threshold uncertainty score0.277

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.003
Science and technology studies0.0010.001
Scholarly communication0.0030.004
Open science0.0020.004
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0830.108

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 head0.027
GPT teacher head0.311
Teacher spread0.284 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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