Flexographic Expanded gamut printing with Proprietary and Nonproprietary Characterization Charts
Why this work is in the frame
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Bibliographic record
Abstract
<p>Expanded gamut printing involves expanding the number of process colors by the three colors Orange, Green and Violet to create many spot colors with the new fixed CMYK-OGV ink set. The benefit of using expanded gamut printing is that the same inks can stay in the ink fountains of a printing press and only the printing plates need to be changed from job to job.</p> <p>The authors conducted several studies with expanded gamut printing in digital printing, inkjet printing and offset printing. This study focuses on evaluating flexographic expanded gamut printing on a narrow web flexographic label press located at the School of Graphic Communications Management at RyersonUniversity, Toronto. Esko Equinox and GMG OpenColor expanded gamut software solutions were used, where each system was tested with its own proprietary characterization test chart. Idealliance ECG small v1 (2019) test target was also used in this study.</p> <p>A verification test chart was created, with selected Pantone spot colors. The verification test chart was processed using the characterization data from the proprietary and nonproprietary characterization press runs. The build of the selected Pantone colors was analyzed and CIEDE2000 was calculated.</p> <p>The main outcome from this study was that we conducted expanded gamut printing on a completely manual 7” narrow web label press and went through the step of optimization, curve calibration, characterization and verification. The average CIEDE2000 for the tested Pantone colors using the proprietary characterization charts was a CIEDE2000 of 2 and 3.2 with the Idealliance Small Chart. Both</p> <p>software solutions did better in regards to color accuracy with their proprietary characterization targets than using the data gathered from the Idealliance ECG small chart.</p>
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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) | 0.000 | 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