Transcatheter aortic valve replacement: The year in review 2016
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Transcatheter aortic valve replacement (TAVR) continued to make major strides in 2016, simultaneously expanding its application to lower risk patients as well as more technically challenging subsets of patients with aortic stenosis (AS). The two major accomplishments this year were the establishment of TAVR as the preferred treatment strategy over surgical aortic valve replacement (SAVR) in intermediate risk patients, and initial signals that TAVR and SAVR may be clinically equivalent in low-risk populations. Meanwhile, there is continued expansion of TAVR to challenging clinical subsets (bicuspid aortic valve [BAV], patients with concomitant advanced coronary artery disease [CAD], and failed surgical bioprostheses), and encouraging initial experiences with newer transcatheter heart valve systems. This paper summarizes the major research studies published on TAVR in 2016.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.025 |
| 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 | 0.000 | 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 it