Long-Term Clinical Benefits of Pulsed Field Ablation in Paroxysmal Atrial Fibrillation: Subanalyses From the Multicenter inspIRE Trial
Bibliographic record
Abstract
The authors thank all inspIRE study (Study for Treatment of Paroxysmal Atrial Fibrillation [PAF] by Pulsed Field Ablation [PFA] System With Irreversible Electroporation [IRE]) personnel and patients for their valuable participation in this trial. The authors thank the following individuals for their efforts in trial execution, statistical analysis, and input during the development of this article: Christina Kaneko, Jaclyn Alcazar, Guixia Huang, Stephen Hynes, Ramona Wu, Carmen Rousseeuw, Sarah Rabau, and Nathalie Marcours. Michelle Hughes, PhD, of Lumanity Communications Inc, provided medical writing and editorial support, funded by Biosense Webster, Inc, under the direction of the authors. The inspIRE Trial Investigators: Luigi Di Biase, Jim Hansen, Sebastien Knecht, Georgios Kollias, Peter Lukac, Andrea Natale, Jan Petru, and Thomas Phlips.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 | 0.001 | 0.001 |
| 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".