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
In Brief PURPOSE: To enhance the learner’s competence with knowledge of care for patients with Martorell hypertensive ischemic leg ulcers. TARGET AUDIENCE: This continuing education activity is intended for physicians and nurses with an interest in skin and wound care. OBJECTIVES: After participating in this educational activity, the participant should be better able to: 1. Demonstrate knowledge of the pathogenesis of Martorell hypertensive ischemic leg ulcers (HYTILU) and differentiation of this ulcer from other causes of painful leg ulcers. 2. Apply current treatment recommendations for Martorell HYTILU to patient case scenarios. Martorell hypertensive ischemic leg ulcer represents rapidly progressive and extremely painful ulcers that are frequently underdiagnosed. These occur most commonly on the lateral-dorsal calf and are associated with hypertension and diabetes. This article will synthesize a review of the literature for the accurate diagnosis and treatment of this painful debilitating condition. This continuing education activity will help clinicians to better assess the pathogenesis of Martorell hypertensive ischemic leg ulcers, differentiate the Martorell ulcer from other causes of painful leg ulcers, and evaluate the current treatment for the Martorell hypertensive ischemic leg ulcers.
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 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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 | 0.001 |
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