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Record W1983467978 · doi:10.1007/s00268-007-9179-z

An Update: The Operative Experience in Adrenal, Pancreatic, and Other Less Common Endocrine Diseases of U.S. General Surgery Residents

2007· article· en· W1983467978 on OpenAlexaff
David Le, Shahzeer Karmali, Jay K. Harness, Brett C. Sheppard

Bibliographic record

VenueWorld Journal of Surgery · 2007
Typearticle
Languageen
FieldMedicine
TopicSurgical Simulation and Training
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineEndocrine surgeryEndocrine systemAbdominal surgeryVascular surgeryGeneral surgeryCardiothoracic surgeryCardiac surgeryAdrenalectomySurgeryInternal medicineHormoneThyroid

Abstract

fetched live from OpenAlex

BACKGROUND: A prior study that examined the operative experience of general surgery residents in endocrine surgery for the academic years 1986-1987 to 1993-1994 found this training to be inadequate due to low operative volume. METHODS: To evaluate how the development of minimally invasive endocrine surgery might alter this outcome, we reviewed more recent data from the Resident Statistic Summaries (Report C) of the Residency Review Committee from 1994-1995 to 2003-2004. RESULTS: The main outcome measures were total number of residents and programs and the volume and distribution of operations performed. For adrenalectomy, the average number of cases per resident was 1.46; for endocrine pancreas, the average was 0.14. The most common number of any of these procedures performed by U.S. graduates was zero. CONCLUSION: Reports from postgraduate training in laparoscopic or endocrine surgery suggest that these fellowships may provide the necessary additional operative experience.

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)0.000
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 score0.018
Threshold uncertainty score0.320

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.073
GPT teacher head0.367
Teacher spread0.295 · 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

Citations29
Published2007
Admission routes1
Has abstractyes

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