“Cap-Tag”—Novel Methods for the Rapid Purification of Oligosaccharides Prepared by Automated Solid-Phase Synthesis Financial support from the donors of the Petroleum Research Fund, administered by the ACS (ACS-PRF 34649-G1), Merck (Predoctoral Fellowship for E.R.P.), Boehringer-Ingelheim (Predoctoral Fellowship for E.R.P.), and the NIH (Biotechnology Training Grant for M.C.H.) is gratefully acknowledged. Funding for the MIT-DCIF Inova 501 was provided by the NSF (Award CHE-9808061). Funding for the MIT-DCIF Avance (DPX) 400 was provided by the NIH (Award 1S10RR13886-01). We thank Silicycle (Quebec City, Canada) for the generous gift of fluorous silica gel and isocyanate silica gel scavenger resin. We thank Dr. O. Plante for helpful discussions and help with the automated oligosaccharide synthesizer.
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
React or get capped and tagged! Two capping reagents, designated A-Tag and F-Tag, mark unconverted oligosaccharides during automated synthesis for simple separation from the desired products. A-Tagged molecules are removed by an isocyanate scavenger resin after reduction to the amine, and those with an F-tag by filtration through fluorous silica gel. R=oligosaccharide. Supporting information for this article is available on the WWW under http://www.angewandte.com or from the author. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
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.
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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.003 | 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 it