Using the 100Mo photoneutron reaction to meet Canada's requirement for 99mTC
Bibliographic record
Abstract
Drawing on work carried out at the Idaho National Laboratory in the 1990s, we show that a single national facility operating two 35 MeV, 100 kW electron accelerators to produce ⁹⁹Mo using the ¹⁰⁰Mo photoneutron reaction could supply all of Canada’s requirements for ⁹⁹ᵐTc. Suitable industrialgrade accelerators are available from Mevex Corporation, and NorthStar Medical Radioisotopes has developed a ⁹⁹ᵐTc separator for low-specific activity material. An economic analysis indicates that the production cost of ⁹⁹ᵐTc would be less than the present market price. Using the NRC 35 MeV linac, we have tested all the steps in the process. Attractive features of the (γ, n) approach include: no use of uranium of any kind; simple chemistry for target dissolution; no significant radioactive waste; less than 24 hours between end-of-bombardment and the shipping of ⁹⁹Mo solution to nuclear pharmacies; and no significant change to the operation of nuclear medicine departments and pharmacies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
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 source (direct Gemma or distilled Codex), 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".