MétaCan
Menu
Back to cohort

Point of Care Ultrasound for Emergency Medicine and Resuscitation

2019· book· en· W4234899840 on OpenAlexaff

Bibliographic record

VenueOxford University Press eBooks · 2019
Typebook
Languageen
FieldMedicine
TopicUltrasound in Clinical Applications
Canadian institutionsDalhousie University
Fundersnot available
KeywordsTerminologyPoint of care ultrasoundUltrasoundMedicineEmergency ultrasoundResuscitationPoint (geometry)Section (typography)RadiologyMedical emergencyMedical physicsEmergency medicineComputer scienceLinguistics

Abstract

fetched live from OpenAlex

Point-of-Care Ultrasound for Emergency Medicine and Resuscitation (Oxford Clinical Imaging Guides) focuses on the day-to-day utility of point-of-care ultrasound in emergency medicine. The book explains how clinicians can safely and accurately use ultrasound for the diagnosis and management of shock, acute presentations, and phases of key conditions. The book begins with a summary of cardiac ultrasound before continuing through the chest, moving down to the abdomen, and finally considers the major vessels and soft tissues. Paediatric and pre-hospital ultrasound, as well as practical procedures, are also addressed. Each chapter begins at a basic level and moves on to higher-level skills. The book is highly illustrated with annotated diagrams showing structures and explaining how to interpret findings. The text is written in a user-friendly fashion with short paragraphs and headings. Technical terminology is explained throughout. A short section in each chapter outlines ‘core’ and ‘advanced’ applications. Each chapter has a clear ‘how to scan’ summary. The book reflects the content and skills included in current curricula for ultrasound use in national and international emergency medicine.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.745
Threshold uncertainty score0.905

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.048
GPT teacher head0.308
Teacher spread0.260 · 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.

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

Citations3
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueOxford University Press eBooksSame topicUltrasound in Clinical ApplicationsFrench-language works237,207