Case File: Rapid Diagnosis of Pericardial Effusion
Bibliographic record
Abstract
Mr. DB was a 95 year old man who presented to the emergency department with dyspnea progressing over the last 3 months. Chest x-ray demonstrated an enlarged cardiac silhouette.
 He had a past medical history significant for coronary artery disease, hypertension and a lobectomy due to tuberculosis.
 A point of care cardiac ultrasound was conducted by an internal medicine resident as part of his physical examination in the emergency department. A large pericardial effusion was found. There were no clinical signs of tamponade.
 Video 1 (online supplement; Figure 1) demonstrates a parasternal long axis view with the pericardial effusion noted to be posterior to the left ventricle in this view. Video 2 (online supplement; Figure 2) is a short axis view of the heart which is showing that the effusion is surrounding the heart. Video 3 and 4 (online supplements; Figures 3 & 4) demonstrates that the pericardial effusion is present significantly surrounding the apex as well. An echocardiogram confirmed the POCUS findings and cardiology was consulted to conduct a pericardiocentesis, following which the patient’s symptoms resolved. The effusion was thought to be chronic and transudative. In this case, the use of POCUS at the bedside allowed for rapid detection of a large pericardial effusion and subsequent treatment.
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 | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 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".