The comparison between deinked pulp of mixed office waste paper and hard wood chemical pulps and BCTMP
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 comparison is made between deinked pulp of mixed office waste paper from the USA and hardwood chemical pulps from the USA, hardwood chemical pulps and BCTMP from Canada and eucalyptus pulps from Brazil in physical properties and optical properties. The results show that the deinked pulp of mixed office waste paper is better than the other pulps in beating energy consumption, finished tear index and stretch, similar to hardwood chemical pulp in finished paper opacity and whiteness, lower than BCTMP in bulk density but higher than hardwood chemical pulp and lower than BCTMP in tensile index and burst index. The stiffness of deinked pulp is the lowest among all the pulps. In one word, it may be used to take the place of hard wood pulps to produce higher cultural paper.
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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 | 0.001 | 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