MODERATED POSTERS, SESSION 2, HRC 2013
Bibliographic record
Abstract
Introduction: Ablation of atrial fibrillation is frequently aided by electro anatomical mapping systems.One system in common use isEnSite NavX TM (St.Jude Medical, Inc., Minneapolis MN).This relies on tranthorasic impedance using external patches and an internal catheter as a reference.The model created is dependent on stability of the reference catheter.We report on the use of an Oesophageal temperature probe as such a reference catheter and its stability.Methods: 21 consecutive ablations for atrial fibrillation, both paroxysmal and persistent were carried out.catheters were positioned in the left atrium then the oesophageal temperature probe was positioned.Once in position we used the fluoroscopy equipment to create still images in LAO 30 and RAO 30.The position of the temperature probe to a fixed point on the spine was measured.The ablation was then performed at the operators discretion.This was always a wide area cirmcuferential ablation of the veins, but variously included ablation of complex fractionated electrograms and linear lesions.On occasion cardioversion was necessary.At the end of the case the position of the temperature probe was again measured in LAO and RAO projections.Results: The movement of the temperature probe was minimal.Mean displacement was 3.38mm vertically (þ/ 2 2 standard deviations ¼ 1.08mm) and 2.38 horizontally (þ/ 2 1.26mm).The largest displacements occurred post cardioversion.There were no cases where the geometry had to be reset due to catheter shift Conclusion: An oesophageal temperature probe can be successfully used as a stable reference for geometry.
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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) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.693 | 0.483 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".