Characterizing paper coating structure using scanning probe microscopy
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
A methodology combining high resolution scanning probe microscopy and image analysis was developed to visualize and quantify the spatial arrangement of paper coating components in cross sections of model coatings. Latex distributions were obtained from pulsed force mode AFM adhesion maps, and pore structures were measured from contact mode AFM topography maps. The coating layer thickness was determined from thermal conductivity maps acquired by microthermal analysis. A set of laboratory coated samples including pigments with various particle sizes and particle size distributions were examined using the methodology. It was found that the porosity and average pore size in the coatings are positively correlated to the average pigment size. Similarly, the average binder area fraction in the cross section of the coating depends on the pigment packing ability, even in the absence of binder migration, resulting in latex distributions with different degrees of uniformity.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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