<title>Fundamental questions on print quality</title>
Bibliographic record
Abstract
The concept of print quality is elusive, since it depends on objective measurable quantities such as contrast, graininess, etc., but also on the subjective appreciation of potential observers. It is far from obvious that print quality (PQ) can be defined in terms of good or bad, so that every one will agree on this definition, and the question of its measurement, with objective and subjective measures, remains open. In this Communication, we would first like to propose a set of fundamental questions related to the definition and measurement of PQ. Specifically, we are interested in the definition of PQ in terms of quality concept and quality criteria, on the minimal dimension space of PQ, and on the functional relations that should be satisfied by the metrics of PQ. In the second part, we focus on the simpler case of print mottle and try to answer some of these questions. We show that wavelet transforms can be used to obtain a measure of PQ that correlates very well with the subjective evaluation of observers and use this measure to discuss the functional form of a metric of Print Quality.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.007 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.066 | 0.027 |
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".