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Record W3119976103 · doi:10.1308/rcsfdj.2021.5

Keeping teeth clean – but not at the environment’s expense

2021· article· en· W3119976103 on OpenAlexaff
Farida Chasma, Gary Cousin

Bibliographic record

VenueFaculty Dental Journal · 2021
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsUniversity Hospital Foundation
Fundersnot available
KeywordsToothpasteSustainabilityWaste managementDentistryBusinessCarbon footprintGreenhouse gasEngineeringMedicine

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.293
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.003

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.

Opus teacher head0.034
GPT teacher head0.310
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2021
Admission routes1
Has abstractyes

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