It’s Never Too Late: Spotting Congenital Absence of the Pericardium in an Older Adult
Bibliographic record
Abstract
A 75-year-old male with a cardiopulmonary history presented with chest pain and dyspnea. He was hypertensive. An electrocardiogram showed paced rhythm. A high-sensitivity test showed his troponin T level was minimally elevated. Coronary angiography results were unremarkable. Chest radiography revealed an elevated cardiac apex, previously attributed to cardiomegaly. Echocardiography revealed a teardrop shaped heart in a nonstandard apical window. Computed tomography confirmed congenital absence of the left pericardium. Challenges of recognizing a rare condition are highlighted. Congenital absence of the pericardium, an often benign but rarely catastrophic condition, can masquerade for decades before diagnosis, underlining the importance of clinical vigilance in evaluating common cardiac complaints.
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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) | 0.000 | 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 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".