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Record W2944987541 · doi:10.24908/pocus.v3i1.13302

Review: Paramedic POCUS, Turning Our Heads to the Prehospital Side of the Fence: A Narrative Review of Education, Training and Future Direction

2018· review· en· W2944987541 on OpenAlexvenueno aff
PCP BA Cristina D’Alessandro, Ian R. Drennan, Joseph Newbigging, Amer M. Johri

Bibliographic record

VenuePOCUS Journal · 2018
Typereview
Languageen
FieldMedicine
TopicRadiology practices and education
Canadian institutionsnot available
Fundersnot available
KeywordsTurning pointFence (mathematics)Tipping point (physics)UltrasoundPoint (geometry)MedicineNarrative reviewNarrativeTraining (meteorology)RadiologyMedical physicsMedical emergencyAcousticsEngineeringIntensive care medicineArtElectrical engineeringPhysics

Abstract

fetched live from OpenAlex

Portable ultrasound is a burgeoning technology with unrealized potential at a critical point in its evolution [1]. Francis Galton first generated ultrasound waves in 1876; however, it wasn’t until 1940 that ultrasound was first applied to clinical medicine [2]. Reaching a “tipping point”, ultrasound is being rapidly assimilated into many medical specialties beyond radiology, now in the hands of non-radiologist, non-cardiologist novel users [2].

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)0.001
metaresearch head score (Gemma)0.008
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.005
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.047
GPT teacher head0.415
Teacher spread0.368 · 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
GenreReview

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
Published2018
Admission routes1
Has abstractyes

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