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Record W2021121845 · doi:10.1177/1553350606291471

Centers of Excellence: A New Dimension in Surgical Education

2006· review· en· W2021121845 on OpenAlex
Karim Qayumi

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSurgical Innovation · 2006
Typereview
Languageen
FieldMedicine
TopicSurgical Simulation and Training
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineExcellenceMandateMedical educationSurgical proceduresDimension (graph theory)Surgery

Abstract

fetched live from OpenAlex

Surgical education has always been challenging and is being made more difficult with the changes in the surgical environment. In the past decade, the number of patients available for educational purposes has decreased because of the development of technology that has significantly reduced their time of stay in the hospital and has also moved many surgical procedures to ambulatory services. Technologic advances also create the demand for more specialized training. The increased number of undergraduate, postgraduate students, and clinical fellows has also affected the educational mandate of the academic hospitals. Alternative ways to teach medicine, and especially surgery, are becoming inevitable. One such method is to teach students outside the operating room in a simulated environment. This article reports on the developments of surgical education centers and provides guidance for those who might wish to develop such educational facilities. For further information, visit www.cesei.org.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.991
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
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 head0.084
GPT teacher head0.405
Teacher spread0.322 · 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