Bibliographic record
Abstract
Many elementary chemical reactions occur on extremely short time scales (down to femtoseconds). Special experimental and mathematical methods are required to study fast processes. Here, we will focus on reactions in solution. Some of the methods described here are also adaptable to gas-phase reactions, but there are also some gas-phase methods that are quite different from anything we would use in solution. Also note that this chapter does not provide a comprehensive survey of methods, even for reactions in solution. The intention is to discuss a few particularly important methods, which hopefully will give you a flavor of the various approaches available. Flow methods The continuous flow method The basic idea behind the continuous flow method is very simple: the reactants are supplied at a constant rate into a tube where the reaction takes place. At constant flow velocity, positions in the tube correspond to specific times since mixing, the relationship between time and the distance from the mixing chamber L being t = L/v . By varying the flow speed or moving a detector along the length of the tube, we can therefore study the course of a fast reaction at our leisure.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.028 | 0.017 |
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".