Segurança no transporte: uma proposta de blindagem para radiofármacos
Bibliographic record
Abstract
The production of radiopharmaceuticals and radiotracers requires a structure that involves the extraction of ore, transport to the place where they will benefit and, after this stage, their storage or transport to hospitals and clinics.One of the most used radiotracers is the Tc-99m, currently imported.Its use includes diagnosis of cancer, kidney, heart and brain diseases, among others.This work brings a bibliographical research, describing the package that is used in the transport of the Tc-99m radionuclide.This radionuclide will be inserted into the generator that will be taken to hospitals that will use it as a radiopharmaceutical (therapy) or radiotracer (diagnosis).The packages used today were imported by companies that no longer certify them for use.In addition, the construction of the Brazilian multipurpose reactor (RMB), implies having packages for the transport of radionuclides, mainly the Tc-99m, which has wide use in medicine.Thus, a new requirement was born: that of creating a national product, with a value reasonably close to that purchased previously, if possible with a smaller size and mass, so that there are means of maintaining the transport of raw materials and products not only for medicine, but also for areas such as industry, agronomy and others.This work focused on the packaging produced by the company Nordion of Canadian, used for the transport of Mo-99 for later use in Tc-99m generators, analyzing the existing one and proposing possible alternatives to be produced in the country.The radiation shielding material indicated by the Nordion documentation is a metal, depleted uranium.An evaluation of an existing specimen was made, suggesting uranium for shield and various materials for the other parts.The methodology adopted was bibliographic and field research (for knowledge of the object).As a result, casks with thickness and mass for shield were presented close to those currently used.v SUMÁRIO
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.007 |
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".