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Record W6921902478 · doi:10.11575/prism/40200

Analysis of standards and certification protocols for verifying recycled content in plastic products

2022· other· en· W6921902478 on OpenAlexaboutno aff

Bibliographic record

VenueOpen MIND · 2022
Typeother
Languageen
FieldMedicine
TopicMusculoskeletal Disorders and Rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsCertificationPlastic wasteConformity assessmentHarmonizationAnticipation (artificial intelligence)Plastic bag

Abstract

fetched live from OpenAlex

This study focused on analyzing and evaluating existing and in development regulations, in anticipation for the launch of the Extended Producer Responsibility (EPR) regulation in Alberta and looks at the lack of harmonization around plastic recycling in Canada, and the way that reciChain can support with compliance to those regulations. It also included the evaluation of the EPR considerations in different provinces in Canada, the study cases that could be relevant for the development of reciChain and how OECD countries are managing their plastic waste. These aspects were essential to answer the research question: how does reciChain fit within existing and in development North American and international standards and certification protocols for verifying recycled content in plastic products, and how it can support with the implementation of effective certification programs? It is important to consider that only 6% of plastics are recycled in Canada, and 85% of the plastic waste generated annually ends up in landfills.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.882
Threshold uncertainty score0.996

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.097
GPT teacher head0.397
Teacher spread0.300 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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
Published2022
Admission routes1
Has abstractyes

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