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Record W2402602621 · doi:10.3233/978-1-60750-706-2-150

Progressive Simulation-Based Program for Training Cardiac Surgery-Related Skills

2011· article· en· W2402602621 on OpenAlexaff
Sayra Cristancho, Alex Monclou, Camilo Moncayo, Claudia Rueda, Adam Dubrowski

Bibliographic record

VenueStudies in health technology and informatics · 2011
Typearticle
Languageen
FieldMedicine
TopicSimulation-Based Education in Healthcare
Canadian institutionsWestern University
Fundersnot available
KeywordsSummative assessmentFormative assessmentModular designComputer scienceSimulation trainingTraining (meteorology)SimulationMedical physicsMedicinePsychologyMathematics education

Abstract

fetched live from OpenAlex

Off Pump Coronary Artery Bypass (OPCAB) surgery is a strategy for revascularizing diseased coronary arteries without cardiopulmonary bypass. The complete operation can be deconstructed into individual tasks and subtasks that are ideal for creating simulation modules. Recently, we have developed a modular mechanical beating-heart OPCAB simulator for use in learner-centered training. In the present study, we describe the design of a progressive, simulation-augmented training program for OPCAB surgery. In particular, we a) define need-driven education and training goals, b) create simulation scenarios with progressive difficulty to specifically address these goals, and c) design corresponding assessment tools for both formative and summative purposes.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.127
GPT teacher head0.443
Teacher spread0.315 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations6
Published2011
Admission routes1
Has abstractyes

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