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
OBJECTIVE: The aim of the study was to evaluate the interstitial changes adjacent to pleural inflammation on multidetector computed tomography. METHODS: The multidetector computed tomography scans of 30 patients with pleural inflammation were retrospectively and blindly evaluated by 2 observers. A control group of 7 patients with documented fibrothorax was also included. The number, appearance, thickness, and extent of septal lines were analyzed. RESULTS: More than 10 septal lines immediately adjacent to the abnormal pleura were seen in 22 of the 30 patients with pleural inflammation and 2 of the 7 patients with fibrothorax (P<0.01). Septal lines that are more than 1 mm thick were seen in 13 of the 30 patients with acute inflammation and none of the patients with fibrothorax (P<0.01). Differences between focal and diffuse pleural inflammation included 10 cm or greater craniocaudal extent and more smooth septal lines with diffuse pleural inflammation. CONCLUSIONS: Pleural inflammation is associated with increased number and thickening of septal lines in the immediately adjacent lung parenchyma.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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 it