Moderated Posters 251Gap junction uncoupling during ischaemia activates normally quiescent purkinje-myocardial junctions resulting in accelerated and more complex activation patterns52The role of gαi2 signalling in cardiac electrophysiology53Midline atrial tachycardia: mapping and differentiation54A multicentre experience of percutaneous left atrial appendage occlusion using different technologies in the united kingdom55Opportunistic screening for atrial fibrillation during flu clinics56Primary care achievement of anticoagulation in atrial fibrillation: as assessed by the quality and outcomes framework57Is combined ablation for paroxysmal atrial fibrillation using balloon cryoablation and radiofrequency ablation superior to either technique alone? long-term follow up and cost analysis58Impact of voltage mapping to guide whether or not to perform ablation of the posterior wall in patient with persistent atrial fibrillation:
Bibliographic record
Abstract
The His-Purkinje system activates ventricular myocardium through Purkinje-Myocardial Junctions (PMJs). It has been suggested that most PMJs are normally non-functional at baseline due to source-sink mismatches at these junctions. We hypothesised that gap junctional uncoupling at the PMJs during acute ischaemia facilitates propagation across a greater number of functional PMJs, thereby leading to accelerated but more complex activation patterns. Methods: In aortic-perfused rabbit hearts (n 8), the right ventricles (RV) were exposed, preserving the Purkinje system (Figure ), and the endocardium optically mapped. Activation of the RV endocardium during atrial pacing was recorded during 40 minutes of global ischemia followed by 30 minutes reperfusion. A corresponding detailed 3D computer model of rabbit ventricles incorporating the Purkinje system was constructed to test the hypothesis.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".