Extraskeletal Osteosarcoma of the Heart Presenting as Infective Endocarditis
Bibliographic record
Abstract
A 7 yr old castrated male Labrador retriever (35.6 kg) was evaluated for an acute onset of vomiting of 24 hr duration. On initial examination, the patient was febrile (103.8°F) and tachycardic (150 beats/min). Thoracic radiographs revealed left atrial enlargement with mild pulmonary infiltrates. The dog's condition worsened and repeat radiographs revealed worsening pulmonary infiltrates and pleural effusion. Treatment for heart failure was initiated. An echocardiogram showed a large 3 cm × 4 cm vegetation on the atrial surface of the posterior mitral valve. The patient was euthanized due to poor clinical appearance and infective endocarditis was suspected. Necropsy revealed an osteosarcoma of the posterior mitral valve, which cultured negative.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".