Critical discussion of light scattering and microscopy techniques for CNC particle sizing
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The determination of particle length and aspect ratio of acicular cellulose nanocrystals (CNCs) becomes crucial when CNCs are used as a catalyst or as a reinforcement additive or when their size is used as a quality control parameter for production. We measured particle dimensions and particle size distribution of CNCs using several experimental techniques based on electron and optical microscopy as well as static and dynamic light scattering. Electron microscopy can easily reveal the real dimensions (i.e. length and cross-section) of nonsymmetrical particles like CNCs while the lightscattering derived techniques cannot. With the latter, it is however possible to approximate the real dimensions using the appropriate theory. The different aspects of light scattering techniques and types of data that can be obtained are presented and detailed. For each technique used, measurements done with CNCs are compared to those obtained with spherical standard latex particles. The accuracy of the final data was also related to the time necessary to obtain it. This "accuracy over time" ratio is of importance when specific applications such as on-line quality control are targeted.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it