Comment on “Glass transition in pure and doped amorphous solid water: An ultrafast microcalorimetry study” [J. Chem. Phys. 125, 094501 (2006)]
Bibliographic record
Abstract
On investigating the data of Chonde et al. [J. Chem. Phys.125, 094501 (2006)], we find that (i) the relaxation time of the test liquid toluene used for determining the ultrafast scans’ reliability was mistaken by several decades and incorrectly plotted, (ii) extrinsic effects had led to an exceptionally broad endotherm showing an enthalpy relaxation occurring implausibly at 500ps time scale, (iii) enthalpy relaxation times at structural unfreezing and at crystallization temperatures were assumed to be the same, equal to the reciprocal of the heating rate, and (iv) the data for water were incorrectly analyzed. An appropriate analysis would alter their conclusion and would be useful for discussing other ultrafast scans and nanocalorimetry data.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.018 | 0.011 |
| Insufficient payload (model declined to judge) | 0.007 | 0.007 |
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".