Sample preparation for femtosecond electron diffraction: Photodissociation of triiodide
Bibliographic record
Abstract
Femtosecond electron diffraction is a relatively new technique used to study reaction pathways at the femtosecond (10-15 s) time scale. With this technique, it will be possible to observe reactive intermediates and short-lived transient states and the timeframe in which they occur. The photodissociation of triiodide is an ideal molecular reaction to study. The dynamics are within the time resolution range of our current setup and the iodine atoms are excellent scatterers of electrons. Before reactions can be studied by femtosecond electron diffraction studies, suitable samples of the molecule or system of interest must be prepared. The sample preparation for these experiments is not trivial, especially for molecular systems such as triiodide. Three methods of preparing samples of triiodide for these experiments were performed: dropcasting, spincoating, and melting with slowly cooling. The latter two showed promise in producing samples that give diffraction.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".