Bibliographic record
Abstract
A long-standing shortage of technetium 99m (99mTc) generators has nuclear pharmacists changing their methods so that patients can receive critical imaging studies. “We’ve done things like reducing the dosages that we’re providing for the studies, which means that oftentimes the imaging procedure takes a little bit longer,” said George Hinkle, professor of pharmacy and director of nuclear pharmacy at Ohio State University Medical Center in Columbus. In addition, he said, “we’ve shifted some of our diagnostic studies that would typically use a technetium 99 product to using another radionuclide, one that’s not in critical shortage because it’s not made by a nuclear reactor.” According to FDA, 99mTc is used in about 80% of all nuclear imaging studies done in the United States. Until last year, nearly all of the U.S. supply of molybdenum 99, the parent nuclide of 99mTc, was produced by two nuclear reactors—one in Chalk River, Ontario, and another in Petten, the Netherlands. The rest came from other nuclear reactors outside the United States.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".