Keeping teeth clean – but not at the environment’s expense
Bibliographic record
Abstract
There is growing importance given to the sustainability and carbon footprints of items, especially those consumed regularly such as straws, earbuds and toothpaste. With the toll of greenhouse gases becoming apparent, it is understandable that consumers are looking to switch to greener alternatives. Toothpaste tubes at present are largely unrecyclable, resulting in an estimated 260 million tubes adding to landfill each year. Considering biodegradation takes 500 years to occur, it is easy to appreciate the disparity between supply and demand. Colgate currently offer a nationwide recycling programme for toothpaste tubes however, this is not readily accepted by local councils, necessitating alternatives to be sought in order to reduce waste. Many of the alternatives marketed do not contain fluoride, which has cariostatic properties. Fluoridated toothpaste tablets in biodegradable bags, glass jars, or boxes are available for use. These products may be of consideration for dental professionals to recommend to those seeking plastic free alternants. With increased use resulting in increased supply this may become a more recognised form of toothpaste in the years to come.
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 | 0.001 | 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) | 0.004 | 0.003 |
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; both teacher heads agree on what is shown here.
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".