Understanding Post Finishing Performance of Xerographic Prints
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
Xerographic digital presses have been used for the production of a variety of publications. Some of these applications may employ hot melt adhesives or pressure sensitive adhesives. However, good adhesion can be hard to achieve with xerographic prints due to the presence of residual fuser release agents on the surface of prints. Also this adhesion problem is very complex since the release agent and paper coating chemistries, fusing process, post-finishing materials and processes are all involved. Thus, it is important to understand the chemistry of release reagent and the surface topography and chemistry of substrates as well as the interaction between them. A method to predict the general adhesion properties of the xerographic prints and their behavior towards finishing operations was developed. It was found that the residual oil on the surface of the prints affects the finishing performance. When the surface coverage of oil is above a certain threshold, post finishing problems appear. The surface coverage of oil depends not only on the oil rate per copy but also on the molecular structure of the oil as well as the substrates.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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