Integrated agent-oriented modeling and simulation of population and healthcare delivery network: application to COPD chronic disease in a Canadian region
Why this work is in the frame
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Bibliographic record
Abstract
In this paper we introduce a framework for integrated agent-oriented modeling and simulation of the population with a specific chronic disease in a large region and of the network providing relevant healthcare services for this population. We illustrate the framework through the Chronic Obstructive Pulmonary Disease (COPD) population and healthcare delivery network in ��������������������ion of Canada. In this framework exploiting agent oriented modeling, demand for healthcare is expressed deeply through the stochastic modeling of health status evolution of each person in a population of potential patients, where the implications of this evolution generate the demand in terms of patient needs for healthcare and their frequency. In parallel, the organization and functioning of the healthcare delivery network is modeled with an adequate detail level. This is made possible by exploiting the richness of the agent paradigm and by introducing integration mechanisms binding the two model components. 1
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it