Reply to: On the giant deformation and ferroelectricity of guanidinium nitrate
Bibliographic record
Abstract
Following a practice of publishing commentaries to articles of other authors ( n.b ., six published comments 1 , 2 , 3 , 4 , 5 , 6 ), Marek Szafrański (MS) and Andrzej Katrusiak (AK) have recently published a Matters Arising article “On the giant deformation and ferroelectricity of guanidinium nitrate” 7 with comments on our article “Exceptionally high work density of a ferroelectric dynamic organic crystal around room temperature” published in Nature Communications 13 , 2823 (2022) 8 . Our detailed analysis of their arguments, provided below, confirms that their claims are biased toward their results, and based on ill-supported data that are not directly comparable to our results. Moreover, they are dismissive of the wealth of electrical, structural, mechanical and computational results presented in our article, contain inconsistencies of their results such as the space groups between their earlier published results and their more recent data, and are altogether scientifically unfounded. Therefore, we reject their comments in their entirety, reiterate our conclusions, and provide further experimental evidence that supports our original results.
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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 | 0.003 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.033 | 0.029 |
| Insufficient payload (model declined to judge) | 0.004 | 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".