A Glance at Biobased and Sustainable Aromatic Polymers for Coatings and Binders
Bibliographic record
Abstract
Polymers hold a very important place in chemistry with a worldwide production of about 400Mt in 2020 and applications in all economic sectors, from basic materials for construction or furniture, to the cutting-edge sectors of aerospace or construction and health. Thus, half of the molecules produced by the petrochemical industry -foremost among which is ethylene (160 Mt/year) -are ultimately found in polymers. Green Chemistry, owing to the concept proposed in 1998 by Anastas et al.1, is a chemistry response to the challenges of reducing the environmental impact of our society. This remarkable place of polymers in chemistry is found naturally in green chemistry, and essentially through the use of renewable resources for the development of agro-resourced or bio-sourced polymers.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.069 | 0.046 |
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".