Myxomatous aneurysms: report of a case and literature review
Bibliographic record
Abstract
Background and aim: Cardiac myxomas are benign heart tumors that may lead to neurological manifestations including distal aneurysms. The aim of this retrospective review was to estimate the incidence of myxomatous aneurysms among patients with atrial myxoma and among all patients with brain aneurysms among Toronto Western Hospital patients in the period of 1999-2010 and to review the imaging features of aneurysms assoicated with atrial myxomas. Methods: We performed two separate retrospective databank analyses to determine a) the number of aneurysms managed, and b) the number of patients seen for atrial myxoma. The latter was derived from the local University Hospital Medical Imaging databank encompassing 40 cases with proven atrial myxoma from 1999 to 2010, the former from a dedicated neurovascular databank into which all aneurysms managed between the same period of time were prospectively entered (2246 patients with 3045 aneurysms). [...].
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".