MétaCan
Menu
Back to cohort
Record W3010866039 · doi:10.1159/000499265

A Comparison of Urology Training Across Five Major English-Speaking Countries

2020· review· en· W3010866039 on OpenAlex
Rishi Naik, Indrajeet Mandal, Alexander Hampson, Rowan G. Casey, Nikhil Vasdev

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCurrent Urology · 2020
Typereview
Languageen
FieldMedicine
TopicSurgical Simulation and Training
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSpecialtyUrologyTraining (meteorology)Medical educationFamily medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Urology is a rapidly evolving specialty, although wide variations exist between training programs in different countries. We aimed to compare the status of urology training in 5 English-speaking countries. MATERIALS AND METHODS: Features compared include the training pathway structure, training requirements, competition levels and the process of moving country for international medical graduates. RESULTS: Length of training varied considerably across countries, ranging from 5 years in the USA and Canada, to 7 years in Australia and New Zealand and 9 years in the UK. Ease of entering urology training for international medical graduates also varies, with the UK relatively easier compared to other countries. All countries encourage participation in research during training as well as completion of non-urology and urology specific surgical examinations. CONCLUSION: Following the Royal College of Surgeons Improving Surgical Training report, it is vital that the UK incorporates optimal elements of international programs in order to provide the best standards for trainees and world-class care in urology.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.994
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.178
GPT teacher head0.462
Teacher spread0.284 · 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