Development of fluorescence-based high-throughput assays for diels-alder reactions
Bibliographic record
Abstract
The Diels-Alder reaction is one of the most powerful reactions available to synthetic chemists. Novel catalysts for this reaction are constantly being evaluated, thus creating a need for high-throughput assays. In this thesis, three strategies were tested in the design of novel fluorescence-based assays to monitor Diels-Alder reactions. The first strategy relied on intermolecular FRET pairing using fluorescence donors as dienes and fluorescence acceptors as dienophile (or vice versa). The second strategy utilized the dienophile naphthalene fumarate ethyl ester which contains a quenched fluorescent moiety. This dienophile was expected to regain its fluorescence upon Diels-Alder reaction with a diene. The third strategy involved a masked 7-hydroxycoumarin fluorophore linked to a dienophile. The fluorophore was positioned so that after Diels-Alder reaction it could be easily eliminated. The third strategy was the most promising even though several problems had to be overcome.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".