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Record W1856455071 · doi:10.1111/pre.12060

Two new species of <i><scp>N</scp>itzschia</i> (<scp>B</scp>acillariophyceae) from freshwater environs of <scp>L</scp>onar <scp>C</scp>rater <scp>L</scp>ake, <scp>I</scp>ndia

2014· article· en· W1856455071 on OpenAlexaff
B Alakananda, Balasubramanian Karthick, Jonathan C. Taylor, Paul B. Hamilton

Bibliographic record

VenuePhycological Research · 2014
Typearticle
Languageen
FieldMaterials Science
TopicDiatoms and Algae Research
Canadian institutionsCanadian Museum of Nature
Fundersnot available
KeywordsBiologyTaxonCrater lakeDiatomNitzschiaEcologyWetlandBotanyZoologyImpact craterPhytoplankton

Abstract

fetched live from OpenAlex

Summary Diatom taxa in I ndia were first documented by E hrenberg and subsequently many studies have focused on the W estern G hats and H imalayan mountains while other regional environments were rarely explored. In the current study, the freshwater environs of the saline L onar C rater L ake were investigated and two new N itzschia species have been described. N itzschia kociolekii sp. nov. and N itzschia tripudio sp. nov. were sampled from bird feeding ponds associated with L onar L ake. The morphological characters of the new species are similar to N . amphibia and N . frustulum but differ in terms of striae pattern, polymorphic areolae development, fibula and stria density. In addition, larger specimens of N . williamsii , a recently described taxon from B angalore wetlands of P eninsular I ndia, were found in a waterfalls flowing into L onar L ake. All three taxa are freshwater diatoms and are possibly endemic to Peninsular I ndia.

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)0.014
metaresearch head score (Gemma)0.072
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.233
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.072
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0030.005
Science and technology studies0.0020.007
Scholarly communication0.0030.002
Open science0.0100.008
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0020.012

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 head0.058
GPT teacher head0.312
Teacher spread0.254 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations6
Published2014
Admission routes1
Has abstractyes

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