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Record W1984840177 · doi:10.1080/07438141.2011.587095

The effect of sampling scales on the interpretation of environmental drivers of the cyanotoxin microcystin

2011· article· en· W1984840177 on OpenAlex
Angeline R. Tillmanns, Frances R. Pick

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLake and Reservoir Management · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicAquatic Ecosystems and Phytoplankton Dynamics
Canadian institutionsOntario GenomicsUniversity of Ottawa
Fundersnot available
KeywordsSestonEutrophicationZooplanktonAbiotic componentEnvironmental scienceLake ecosystemSampling (signal processing)Biomass (ecology)EcologyEnvironmental chemistryPhytoplanktonBiologyChemistryEcosystemNutrientPhysics

Abstract

fetched live from OpenAlex

Microcystins (MC), a class of cyanobacterial toxins, were measured in one shallow moderately eutrophic lake over 3 years and compared with results from multi-lake regional studies taken from the literature to understand how the choice of sampling regime affects observed correlations between microcystins and environmental conditions. Our results show that correlations between MC seston content and environmental factors are quite dependent upon the temporal sampling scale. The within-year variation in total MC seston content was high, almost an order of magnitude higher than that of the abiotic variables measured and that of algal biomass (Chl-a) but similar to the variation in the density of cladoceran zooplankton. At the temporal scale of seasons, no significant correlations could be detected between MC seston content and environmental variables, but at the monthly scale, pH and temperature were positively correlated with MC seston content. At the weekly scale, reactive phosphate was weakly correlated with MC seston content (with a lag of 12 d) as detected through time series analysis. Furthermore, the factors previously associated with microcystins at a larger spatial scale in among-lake studies (namely total phosphorus, total nitrogen, and light attenuation) did not explain the temporal MC seston content variation within one lake at any sampling scale.

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.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.130

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.188
Teacher spread0.182 · 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