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Record W2792220761 · doi:10.5864/d2018-001

A review of the potential risks associated with chemicals present in poured-in-place rubber surfacing

2018· review· en· W2792220761 on OpenAlexafffundvenue
Courtney Janes, Ludmilla Rodriguez, Chris Kelly, Theron White, Chad Beegan

Bibliographic record

VenueEnvironmental Health Review · 2018
Typereview
Languageen
FieldEnvironmental Science
TopicMicroplastics and Plastic Pollution
Canadian institutionsAlberta Health Services
FundersAlberta Health Services
KeywordsNatural rubberForensic engineeringDurabilityEnvironmental scienceWaste managementEngineeringMaterials scienceComposite material

Abstract

fetched live from OpenAlex

Poured-in-place (PIP) rubber surface systems are becoming a popular material for playground and play area surfaces due to their customizability, durability, and impact protection. The material is constructed from crumb rubber, which is made from recycled tires as well as synthetic components and other additives, such as a binding agent. Several government agencies and nongovernmental organizations have commissioned studies and status reports to identify possible health risks related to exposure to the chemical hazards present in PIP surface materials. Various routes of exposure were considered such as inhalation, ingestion, and dermal contact. After a review of the available literature addressing potential chemical hazards of PIP surfaces, no health risks were noted. Some information gaps, such as limited experimental data specific to PIP surface systems, were identified at the time of the review.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.005
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.033
GPT teacher head0.316
Teacher spread0.283 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations9
Published2018
Admission routes3
Has abstractyes

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