Have We Entered the Era of “Code TAVR” and “Door-to-TAVR” Time?
Bibliographic record
Abstract
The evidence to support the optimal strategies for treating patients with acute and severe decompensation of aortic valve stenosis is limited and remains unclear.1–6 Retrospective registry data as well as single center case reports often include heterogeneous patient populations with both urgent and truly emergent indications for transcatheter aortic valve replacement (TAVR). In a retrospective cohort series at five German centers between 2009 and 2015 by Bongiovanni et al,2 emergent indications for TAVR were defined as: cardiogenic shock requiring catecholamine therapy, New York Heart Association (NYHA) class IV dyspnea, cardiac resuscitation or mechanical respiratory support.
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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 | 0.014 | 0.124 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.008 | 0.018 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.015 |
| Insufficient payload (model declined to judge) | 0.042 | 0.006 |
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".