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Record W2042498828 · doi:10.2166/wst.2007.161

Interlaboratory comparison of geosmin and 2-methylisoborneol in municipal tap water

2007· article· en· W2042498828 on OpenAlexafffundabout
Brian G. Brownlee, Chris Marvin, Gordia MacInnis, M. N. Charlton, Susan B. Watson

Bibliographic record

VenueWater Science & Technology · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicAquatic Ecosystems and Phytoplankton Dynamics
Canadian institutionsEnvironment and Climate Change Canada
FundersOntario Water Consortium
KeywordsGeosminTap waterEnvironmental scienceEnvironmental chemistryRound robin testEnvironmental engineeringChemistryMathematicsOdorStatistics

Abstract

fetched live from OpenAlex

An interlaboratory comparison ("round-robin") for geosmin and 2-methylisoborneol (MIB) was carried out between six laboratories of the Ontario Water Works Research Consortium (OWWRC). Municipal tap water was found to be a suitable medium for distribution of samples. To test stability, geosmin and MIB were added to tap water and stored at 2-4 degrees C. Under these conditions, geosmin concentrations declined by approximately 5% per month for the first 2 months. MIB concentrations were stable over a 158-day period. Three round-robins were carried out individually in 2001, 2003 and 2004. Two levels of geosmin and MIB were used: nominally 10 and 100 ng/l. In 2003 the relative standard deviation for all six participating laboratories were 34, 21, 21 and 22% for low and high level MIB, and low and high level geosmin, respectively. For all but MIB at the low level, there was a marked improvement in agreement between laboratories from 2001 to 2004. However, we recommend use of common analytical standards in order to potentially further reduce interlaboratory variability.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.564
Threshold uncertainty score0.617

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.258
Teacher spread0.250 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations1
Published2007
Admission routes3
Has abstractyes

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