Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
With thousands of experts from Mayo Clinic campuses in Minnesota, Florida, Arizona, and the Mayo Clinic Health System, Mayo Clinic Radio reaches listeners with an easy-to-understand, friendly approach. High interest topics include the latest news as well as information about exercise, nutrition, prevention and heart health. with your Mayo Clinic Radio Health Minute, iâm tracy mccray. Weâve known for awhile that BMI or body mass index is not a great measure of obesity in adults. now, research in kids is raising some alarms. âif the bmi is high it is very clear that the children are obese, in otherwords they have extra fat. but we also found that in about a quarter of children who have extra fat, who would be obese according to the fat content of the bodyâs, would not be called obese using the bmi.â according to study author, dr. francisco lopez-jimenez, this may result in the under diagnosis and under treatment of children who actually are obese. in the future, Dr. Lopez-jimenez would like to see body fat actually measured in kids, particularily if doctors suspect the child may have more fat than normal in spite of the bmi results. for more information, talk with your doctor or visit mayoclinic.org.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.004 |
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 it