Bibliographic record
Abstract
This chapter discusses the photocontrol of biologically relevant systems using synthetically derived photochromic molecules. Then, it presents a general overview of recent progress made in the field of light-controlled biomolecules in a variety of contexts. Today, there is a wide range of tools capable of modifying various biochemical functions. Those relevant to artificial photochromic biosystems are discussed in the chapter. The design of artificial light-controlled biological systems using photochromic molecules relies on harnessing the light-induced structural changes that accompany the chromophore's photoisomerization process and exploiting these changes to influence biomolecule function. There are a number of factors to consider when designing a light-controlled biomolecule that has an incorporated photochromic tether. The chapter focuses on photocontrol of proteins and peptides, the drawbacks that accompany the use of ultraviolet light to control channel function in living systems have prompted researchers to design photoswitches that can be isomerized using longer wavelengths of light.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.074 | 0.004 |
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; both teacher heads agree on what is shown here.
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".