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Record W3036701738 · doi:10.1109/tg.2020.3003315

The Anesthesia Crisis Scenario Builder for Authoring Anesthesia Crisis-Based Simulations

2020· article· en· W3036701738 on OpenAlex
Kyle Wilcocks, Bill Kapralos, Álvaro Uribe-Quevedo, Fahad Alam, Adam Dubrowski

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Transactions on Games · 2020
Typearticle
Languageen
FieldMedicine
TopicSimulation-Based Education in Healthcare
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreOntario Tech University
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsUsabilityComputer scienceCrisis managementSoftwareGraphical user interfaceHuman–computer interactionAnesthesiaMedicineProgramming languageManagement

Abstract

fetched live from OpenAlex

In this article, we present the anesthesia crisis scenario builder (ACSB) framework prototype that allows for the development of (or modification of existing) anesthesia crisis resource management-based virtual simulations. The ACSB framework was developed specifically to allow medical educators, who may have a limited (if any) programming/software development background, to replicate and edit anesthesia scenarios based on preprogrammed steps from the anesthetic crisis manual. The scenarios can be developed simply and intuitively using a graphical user interface. Results of a preliminary study examining the usability of the ACSB framework indicate the ease of creating a crisis scenario with limited, if any, programming knowledge.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.796
Threshold uncertainty score0.941

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.055
GPT teacher head0.343
Teacher spread0.287 · 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