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Record W3144775587 · doi:10.1109/wsc.2009.5429206

A Java class library for simulating peri-operative processes

2009· article· en· W3144775587 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueProceedings of the 2009 Winter Simulation Conference (WSC) · 2009
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Operations and Scheduling Optimization
Canadian institutionsJewish General Hospital
Fundersnot available
KeywordsJavaComputer scienceScheduling (production processes)ReuseDiscrete event simulationSoftwareAnimationSoftware engineeringClass (philosophy)Operating systemSimulationOperations managementEngineering

Abstract

fetched live from OpenAlex

To address the mismatch between supply and demand for peri-operative capacity, senior management of the Department of Surgical Services at the Sir Mortimer B. Davis Jewish General Hospital in Montreal designed and developed a discrete event simulation platform for modeling its peri-operative processes. Design goals included ensuring that the platform could be used for both long-term capacity planning and short-term scheduling, that it could be readily modified and extended, that it be comprehensive and fast, that it have a multi-level 2D animation capability, that it reuse software components, and that it could be embedded into other software. The primary outcomes achieved were the development of a Java class library to support the development of peri-operative process simulation models, and a preliminary model, built with the class library, that is currently being used to help understand the need for surgical beds.

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)0.002
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: Empirical
Teacher disagreement score0.423
Threshold uncertainty score0.751

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.089
GPT teacher head0.417
Teacher spread0.328 · 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