Economic Impacts of Establishing a Neutron Source Facility in Windsor
Bibliographic record
Abstract
Cancer poses a significant health challenge in Canada, with two in five individuals likely to develop the disease. This paper explores the economic impacts of establishing a prototype compact accelerator-based neutron source (PC-CANS) facility in Windsor that will produce medical isotopes locally in Windsor, Ontario, rather than relying on centralized production and transportation from London, Ontario. Fluorine-18 medical isotopes, crucial for positron emission tomography (PET) scans, experience significant decay losses during transportation due to their short half-life of 109.8 minutes, increasing costs and restricting availability. Using a differential analysis approach, the study quantifies economic benefits, focusing on three main impacts: transportation cost elimination, reduction in decay-induced production losses, and advancements in cancer treatment and research, particularly through Boron Neutron Capture Therapy (BNCT). Findings indicate that, over a 30-year lifespan, local production is projected to save Windsor Regional Hospital approximately CAD 2.88 million in transportation costs, generate gains from reduced decay-induced production losses of CAD 21.25 million, and enhance cancer treatment and research through BNCT, resulting in a cumulative benefit of CAD 4.86 million. With an initial investment of CAD 10 million, total economic benefits are estimated at CAD 28.98 million over 30 years, positioning Windsor’s neutron source facility as a valuable model for other smaller Canadian cities.
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".