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Record W2910827684 · doi:10.4095/214034

Deposition of trace elements in the Trail region, British Columbia; an assessment of the environmental effect of a base metal smelter on land

2003· book· en· W2910827684 on OpenAlexaffabout
Fariborz Goodarzi, Hamed Sanei, W F Duncan

Bibliographic record

Venuenot available
Typebook
Languageen
FieldEnvironmental Science
TopicHeavy metals in environment
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsSmeltingDeposition (geology)Environmental chemistryEnvironmental scienceTRACE (psycholinguistics)Trace metalBase metalArchaeologyMetalChemistryGeographyMetallurgyGeologyMaterials scienceGeomorphology

Abstract

fetched live from OpenAlex

This study was carried out to assess the spatial deposition and accumulation of trace elements on surface soil in the Trail area, British Columbia, site of a base metal smelter. Monitoring of the deposition was performed by strategically placing twenty-two flat moss-bags (moss-monitoring stations), in the study area and allowing them to be exposed to aerial deposition for 3-month periods over the course of the two-year study. The main goal of this research was to determine the cumulative deposition of the "settleable" portion of elements on land, the extent of influence from the point source, and the seasonal variations in the deposition pattern. The results of this study give a better understanding of the net increase of trace elements in surface soil over a given period of time. This is important in terms of the calculation of the element inventory of the soil and for long-term prediction of the future amounts of trace elements.

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: Other · Consensus signal: none
Teacher disagreement score0.048
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
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 head0.008
GPT teacher head0.243
Teacher spread0.234 · 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
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

Citations5
Published2003
Admission routes2
Has abstractyes

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