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Record W2760458104 · doi:10.1080/0028825x.2017.1377263

The diatom <i>Lindavia intermedia</i> identified as the producer of nuisance pelagic mucilage in lakes

2017· article· en· W2760458104 on OpenAlexaff
Phil M. Novis, Marc Schallenberg, Émilie Saulnier‐Talbot, Cathy Kilroy, Michael Reid

Bibliographic record

VenueNew Zealand Journal of Botany · 2017
Typearticle
Languageen
FieldMaterials Science
TopicDiatoms and Algae Research
Canadian institutionsUniversité LavalCenter for Northern Studies
FundersMinistry of Business, Innovation and Employment
KeywordsPelagic zoneDiatomEcologyEutrophicationHabitatAlgaeSnowMucilageCosmopolitan distributionMarine snowBiologyOceanographyGeographyNutrientGeologyWater column

Abstract

fetched live from OpenAlex

ABSTRACT Populations of a centric diatom that produces copious extracellular polymeric substance (EPS), known as ‘lake snow’, have developed in several large microtrophic lakes in New Zealand over the past 10 years. The EPS coats fishing lines and blocks water filters. The phenomenon was first noticed in Lake Wanaka in the early 2000s and has recently been reported in Lakes Coleridge and Wakatipu, with single, isolated historical events occurring in Lakes Waikaremoana (confirmed) and Benmore (presumed). The species has been reported from a handful of other lakes in New Zealand, all except one of which are microtrophic‐to‐oligotrophic. Light and ultrastructural microscopic studies of New Zealand populations, DNA sequencing and comparison with published descriptions identify the causative species as Lindavia intermedia , part of the ‘bodanicoid’ complex. These species are best known from the Northern Hemisphere where they are regarded as confined to nutrient‐poor habitats, frequently having disappeared from European lakes as the lakes underwent eutrophication. Lake snow is known from a small number of other lakes in the Northern Hemisphere, but no evidence has been reported linking L. intermedia to the production of lake snow in these lakes. The expected growth characteristics (slow and at depth) of L. intermedia pose difficulties for any prospective containment campaign.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.490
Threshold uncertainty score0.489

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.016
GPT teacher head0.298
Teacher spread0.281 · 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

Citations13
Published2017
Admission routes1
Has abstractyes

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