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Record W1884070983

ACLS for EMT-Basics

2004· article· en· W1884070983 on OpenAlexaboutno aff
Malcolm Woollard

Bibliographic record

VenuePubMed Central · 2004
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTechnicianDefibrillationMedical emergencyAdvanced cardiac life supportResuscitationBasic life supportMedical educationCardiopulmonary resuscitationEmergency medicineEngineeringCardiology
DOInot available

Abstract

fetched live from OpenAlex

M Smith, Sudbury, MA: Jones and Bartlett Publishers, 2003, $31.95 (paperback), pp 120. ISBN 0-7637-1505-0 In the UK, most ambulances are staffed with one technician and one paramedic—a skill mix that results in particular challenges when managing cardiac arrests. British emergency medical technicians (EMTs) are routinely taught to support paramedic activities and a chapter of their Basic Training Manual is devoted to this topic.1 The review book therefore has the potential to provide additional in depth information for UK EMTs and others working alongside Advanced Life Support colleagues. The book encompasses airway management, emergency cardiac care, abnormal ECG recognition, defibrillation and pacing, pharmacology of cardiac emergency drugs, special resuscitation situations, legal issues, and stress. It …

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.618
Threshold uncertainty score0.545

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.6180.519

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 head0.253
Teacher spread0.238 · 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.

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
Published2004
Admission routes1
Has abstractyes

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