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Record W1669623648 · doi:10.5141/jefb.2005.28.5.261

Assessment of Surface Water Quality in Suburban Golf Courses in Korea

2005· article· en· W1669623648 on OpenAlexaboutno aff
Jin‐Sung Park, Ok‐Kyung Kim, Yoon-Jeong Chang, In-Sook Lee

Bibliographic record

VenueThe Korean Journal of Ecology · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicTurfgrass Adaptation and Management
Canadian institutionsnot available
Fundersnot available
KeywordsAlkalinityAmmoniumNitrogenWater qualityBiochemical oxygen demandEnvironmental chemistryChlorideChemistrySurface waterOxygenChemical oxygen demandEnvironmental scienceAnimal scienceEcologyBiologyEnvironmental engineering

Abstract

fetched live from OpenAlex

In the current study, we examined the quality of surface water in ponds at two golf courses, located in southern (Country Club P) and eastern (Country Club B) areas of Korea respectively. Seasonal measurements were made of following physical parameters;pH, dissolved oxygen, biological oxygen demand, chloride, alkalinity, hardness, and nitrogen compounds [<TEX>$NH_3$</TEX>-N, <TEX>$NO_2$</TEX>-N, <TEX>$NO_3$</TEX>-N] and the concentrations of four heavy metals (Cd, Cu, Pb, and Zn) throughout the courses. The pH values were within the alkaline range (7.3 to 9.0), and the biological oxygen demand was generally between 0.5 and 3.1 mg/L. The alkalinity and hardness ranged from 19.1 to 68.5mg/L and 16.1 to 63.6 mg/L, respectively. Nitrogen as ammonium <TEX>$(NH_3-N)$</TEX> was detected in all samples, and the samples had low concentrations of <TEX>$NO_2-N$</TEX> and <TEX>$NO_3-N$</TEX>. Cd concentrations were relatively high (to 22.44 mg/L); the highest Cd concentration was observed in the pond in Country Club P. Other metal concentrations were low compared to the Quebec guidelines.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.101
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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)0.0010.000

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 head0.021
GPT teacher head0.299
Teacher spread0.278 · 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 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
Published2005
Admission routes1
Has abstractyes

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