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Record W1972130305 · doi:10.1139/f03-014

A simple method for assaying extracellular hydroxyl radical activity and its application to natural and synthetic waters

2003· article· en· W1972130305 on OpenAlexvenueno aff
Lewis A. Molot, Sean A. Miller, Peter Dillon, Charles G. Trick

Bibliographic record

VenueCanadian Journal of Fisheries and Aquatic Sciences · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicAdvanced oxidation water treatment
Canadian institutionsnot available
FundersMinistry of Environment
KeywordsEnvironmental chemistryEutrophicationHydrogen peroxideAbsorbanceChemistryHydroxyl radicalNitrateBloomSeawaterAlgal bloomPhytoplanktonEcologyNutrientRadicalBiologyChromatographyOrganic chemistry

Abstract

fetched live from OpenAlex

An assay has been developed to measure extracellular hydroxyl radical (OH*) activity in algal culture media and natural waters over a 4- to 5-day period. The first-order rate constant, k, for loss of absorbance at 590 or 620 nm was determined for erioglaucine, which is sensitive to OH*, insensitive to superoxide and hydrogen peroxide, and stable in the dark and under artificial radiation (280–750 nm) and solar radiation in the absence of oxidants. Variation in irradiance was accounted for by normalizing k with k for a ferric iron reference solution with dye (k/kfe). Trends in k/kfe for streams and lakes were consistent with previous data on photochemical oxidation rates of dissolved organic matter. Values for k/kfe were similar in filtered surface waters of eutrophic Heart Lake and nearby mesotrophic Lake St. George under artificial radiation. Hence, extracellular OH* did not appear to be a direct cause of the onset of a nuisance cyanobacterial bloom in Heart Lake, nor did OH* appear related to the absence of a bloom in Lake St. George. k/kfe was two orders of magnitude higher in algal culture media supplied with 8.8 mM nitrate than in lake waters.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.014
GPT teacher head0.251
Teacher spread0.237 · 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 designBench or experimental
Domainnot available
GenreMethods

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 routes1
Has abstractyes

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