MétaCan
Menu
← Back to cohort
Record W6907836352 · doi:10.25316/ir-19662

Soil Metal Distribution in Parks and Playgrounds in Select Municipalities in Metro Vancouver

2024· article· en· W6907836352 on OpenAlexaboutno aff

Bibliographic record

VenueVIUSpace (Vancouver Island University Library) · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicHeavy metals in environment
Canadian institutionsnot available
Fundersnot available
KeywordsHuman healthSoil qualitySoil waterSoil contaminationRisk assessmentSoil testMetropolitan areaContamination

Abstract

fetched live from OpenAlex

This study was conducted to identify the soil metal profile in parks and playgrounds in select municipalities in Metro Vancouver that have been rapidly developing during the past few years. Sixty-eight soil samples were analyzed for metals including As, Cd, Cr, Cu, Fe, Ni, Pb, Sn, U, V, and Zn by X-Ray Florescence and assessed against the Canadian Council of Ministers of the Environment (CCME) soil quality guidelines (SQG) for residential/parkland use. In vitro bioaccessibility analyses were also conducted to determine the human health risk associated with ingestion of metals present in the soil samples. Metal concentrations and the bioaccessibility results suggested that the human health risk associated with accidental ingestion of contaminated soils at parks and playgrounds where samples were collected was minimal. For Ba, which exceeded the CCME SQG, with moderate bioaccessibility, may suggest a potential risk to human health.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.254
Threshold uncertainty score0.510

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.185
Teacher spread0.179 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueVIUSpace (Vancouver Island University Library)→Same topicHeavy metals in environment→French-language works237,207→