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Record W1987944497 · doi:10.1177/875647902236836

Results of the Year 2000 Abdomen Task Survey of the American Registry of Diagnostic Medical Sonographers

2002· article· en· W1987944497 on OpenAlexaff
Rick Feld, Carl C. Reading, Dawn Davies, Anne Andrew

Bibliographic record

VenueJournal of diagnostic medical sonography · 2002
Typearticle
Languageen
FieldMedicine
TopicUltrasound in Clinical Applications
Canadian institutionsBritish Columbia Institute of TechnologyFoothills Medical Centre
Fundersnot available
KeywordsMedicineSpecialtyAbdomenRadiologyMedical physicsFamily medicine

Abstract

fetched live from OpenAlex

The authors' purpose was to evaluate the current practice of registered diagnostic medical sonographers, with specialty in abdomen, of the American Registry of Diagnostic Medical Sonographers (ARDMS).A randomized sample of 2350 registered diagnostic medical sonographers with specialty in abdomen were chosen from the ARDMS database to complete a task survey on the Internet.The survey consisted of a 235-item ques tionnaire with regard to demographics, education, and frequency of specific sonograms performed in daily practice.Compared with the 1994 survey, registrants have received more formal education and less on-the-job training. Traditional tasks remain the predominant responsibilities of registered diagnostic medical sonographers with specialty in abdomen, including liver, biliary system, gallbladder, kidney, and pancreas, but a small minority of sonographers also perform liver transplant, kidney transplant, trauma, and musculoskeletal sonograms, and use newer technologies, such as power Doppler and tissue harmonic sonography, as well as transrectal sonography.The authors conclude that the ARDMS abdomen examination reflects current practice, but future revisions should include a small percentage of items in these newer areas.

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)0.004
metaresearch head score (Gemma)0.234
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.230
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.234
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.003
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.313
Teacher spread0.285 · 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.

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

Citations0
Published2002
Admission routes1
Has abstractyes

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