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Record W2439371060

Bedside ultrasonography performed by family physicians in outpatient medical offices in Whitehorse, Yukon.

2013· article· en· W2439371060 on OpenAlexaffabout
T. Oswald Siu, Huy Chau, Doug Myhre

Bibliographic record

VenuePubMed · 2013
Typearticle
Languageen
FieldMedicine
TopicUltrasound in Clinical Applications
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineUltrasonographyOutpatient clinicFamily medicineEmergency medicineRadiologyInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION: We sought to determine the current practices and opinions of family physicians in Whitehorse, YT, regarding bedside ultrasonography performed by family physicians in outpatient medical offices. METHODS: A paper survey was administered to Whitehorse family physicians. Only those who had worked for longer than 6 months in a community outpatient clinic in Whitehorse were invited to participate. RESULTS: The response rate of our survey was 44%. None of the respondents reported currently using bedside ultrasonography in their outpatient medical offices; however, 78% reported having training in ultrasonography and using it in another setting. Of the respondents, 94% stated they would consider using bedside ultrasonography in their outpatient medical office. Economics was the biggest reported barrier in the use of bedside ultrasonography in outpatient medical offices. CONCLUSION: A wealth of experience in bedside ultrasonography already exists among family physicians in Whitehorse, and an overwhelming majority of physicians are ready to embrace its use in outpatient offices. However, the skills and willingness of family physicians have not translated into the use of bedside ultrasonography in outpatient medical offices.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.159
Threshold uncertainty score0.752

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.021
GPT teacher head0.264
Teacher spread0.243 · 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

Citations11
Published2013
Admission routes2
Has abstractyes

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