Strategies to increase the enrolment of students of rural origin in medical school: recommendations from the Society of Rural Physicians of Canada
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
Atherosclerosis, a chronic vascular disease, is characterized by deposition of fatty substances and accumulation of immune cells in susceptible regions of arteries. Increasing evidence show that abnormal metabolic conditions, such as dyslipdemia and diabetes, induce immune cell activation and inflammation, which play crucial roles in progression of atherosclerosis. However, molecular linkers of metabolic disorder, immune activation and atherosclerosis are not well understood. Here we report that ligands for NKG2D, an immune-activating receptor, were upregulated in multiple tissues and organs under atherosclerotic disease condition, particularly in atherosclerotic lesion and liver. Preventing NKG2D/ligands interaction significantly reduced atherosclerotic lesion formation and systemic inflammation. In addition, preventing NKG2D/ligand interaction alleviated abnormal metabolic conditions by suppressing liver inflammation. Our data clearly show that NKG2D/ligand interaction plays critical roles in the progression of atherosclerosis and might be potential targets against atherosclerosis.
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.004 | 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 it