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Record W6926466643 · doi:10.25316/ir-17038

Distribution and bioaccessibility of metals in soils in public parks in peri-urban Calgary

2021· other· en· W6926466643 on OpenAlexaboutno aff

Bibliographic record

VenueVIURRSpace (Vancouver Island University) · 2021
Typeother
Languageen
FieldMedicine
TopicBurkholderia infections and melioidosis
Canadian institutionsnot available
Fundersnot available
KeywordsSoil waterBioavailabilitySoil testPublic parkSampling (signal processing)Heavy metalsPollution

Abstract

fetched live from OpenAlex

The concentrations and bioaccessibility of metals in peri-urban area of Calgary, Alberta, were assessed. Soil sampling was performed at 48 locations in public parks and playgrounds in peri-urban areas around the City of Calgary, including Airdrie, Chestermere, the Town of Okotoks, and the Town of Cochrane. The samples were analyzed by X-ray fluorescence spectrometry and inductively coupled plasma-mass spectrometry. In vitro bioaccessibility tests were performed to assess metal bioavailability in a subset of the samples. X-ray fluorescence analysis showed a strong correlation with ICP-MS results. Metal concentrations in the samples analyzed were below the Canadian Council of Ministers of Environment soil quality guidelines for residential/parkland use with mean bioaccessibility between 1.4% and 65.9%. Therefore, the potential risk was deemed low based on the metal concentrations and bioaccessibility values. The relationships between metal concentrations in soil samples analyzed, and air emission sources were low except for zinc. Keywords: soil, metal concentration, parks and playgrounds, bioaccessibility.

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 score0.455
Threshold uncertainty score0.915

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 studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.015
GPT teacher head0.230
Teacher spread0.215 · 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
Published2021
Admission routes1
Has abstractyes

Explore more

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