Automated radiosynthesis of 68Ga for large-scale routine production using 68Zn pressed target
Bibliographic record
Abstract
Gallium-68 (68Ga) has attracted increasing interest in recent years due to the expanding clinical applications of 68Ga-based radiopharmaceuticals (Rahbar et al., 2017). 68Ga is mainly produced via 68Ge/68Ga generators that are limited in yield by the 68Ge activity (typically up to 1.85 GBq at calibration time). With the increased-demand of 68Ga in nuclear medicine for positron emission tomography (PET) imaging, there is a need for more efficient and robust production methods to obtain larger amounts of [68Ga]GaCl3 with high radionuclidic and radiochemical purity and apparent molar activity (AMA) for facilitating the distribution of 68Ga-based radiopharmaceuticals. The objectives of this study were to develop a fast and efficient process for the preparation of 68Zn-based solid targets and to optimize the critical parameters for the automated radiosynthesis of [68Ga]GaCl3 for large-scale routine production.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".