Transoesophageal ultrasonography: a new approach to imaging the thoracic aorta: Figure 1
Bibliographic record
Abstract
Transoesophageal echocardiography (TOE) is often the initial investigation of choice for imaging acute and chronic aortic disease including dissection and ectasia. It is also used in the placement of endovascular stent grafts, to monitor deployment of the stent, and to assess results.1 It is ideally suited because of the close proximity of the oesophageal imaging window to the arch and descending thoracic aorta. However, endovascular stent grafting is increasingly being performed under regional and local anaesthesia and it is impossible to tolerate a TOE probe for the length of the procedure. We therefore investigated the feasibility of imaging the thoracic aorta using a device originally developed for intracardiac echocardiography. The ultrasound-tipped catheter (AcuNav, Siemens, Mountain View California) is 90 mm long and 3.2 mm (10 F) in diameter compared with 9 mm (27 F) for a standard TOE probe. The imaging range is from 5.5–10 MHz and it has colour (5–7 MHz) and pulsed Doppler (4–5 MHz) capabilities. There is only one imaging plane, but transverse and intermediate views are possible because the …
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.010 | 0.012 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
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".