Bibliographic record
Abstract
PepsiCo has joined Danone, Nestlé Waters, and the biobased polymer firm Origin Materials in the NaturALL Bottle Alliance, a research consortium working to accelerate development of beverage containers made with 100% biobased polyethylene terephthalate (PET). The alliance, formed in 2017, plans to use waste biomass, such as cardboard and sawdust, as feedstocks so as to not compete with food resources. It has selected a site in Sarnia, Ontario, to construct a demonstration plant that can process 18,000 metric tons of biomass per year. The plant is expected to open by 2020 and will initially produce 95% biobased PET. Pepsi rival Coca-Cola is separately working to produce fully biobased PET with p-xylene raw material from partners Virent and Gevo. Coca-Cola is also investing in polyethylene furanoate (PEF), a competing packaging polymer. Notably, Coca-Cola is backing efforts by Synvina, a partnership of BASF and Avantium, to produce the PEF intermediate 2,5-furandicarboxylic acid
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.
How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".