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Record W1777107686 · doi:10.33151/ajp.5.2.411

Paramedic Identification of Ecg J Point and St Segments: A Pilot Study

2007· article· en· W1777107686 on OpenAlexaboutno aff
Brett Williams, Malcolm Boyle, Bill Lord

Bibliographic record

VenueAustralasian Journal of Paramedicine · 2007
Typearticle
Languageen
FieldMedicine
TopicECG Monitoring and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsElevation (ballistics)MedicineIdentification (biology)Observational studyST segmentPoint (geometry)Quarter (Canadian coin)Internal medicineMathematicsGeography

Abstract

fetched live from OpenAlex

Objective To identify if undergraduate paramedic students are accurate at identifying J Point and ST segments on electrocardiograms. Methods A prospective single-blinded observational pilot study asking students to identify ST segment and J point location on four different ECG complexes Results Of 32 students that participated in the study the findings demonstrated variations in students’ accuracy with both J Point and ST segment identification. Undergraduate paramedic students in most cases were able to recognise ST segment elevation; however, definition of the amount of ST segment elevation varied greatly. A quarter of students did not complete all 4 J Point estimations. Overall the student's estimations varied considerably. Conclusion Results from this pilot study have identified significant variation in students’ interpretation of J Point and ST Segment in ECG analysis.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.490

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.028
GPT teacher head0.337
Teacher spread0.309 · 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 designObservational
Domainnot available
GenreEmpirical

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
Published2007
Admission routes1
Has abstractyes

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