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Record W4400933386 · doi:10.11646/phytotaxa.661.1.9

Geissleria triundulata sp.nov., a new freshwater diatom (Cymbellaceae, Bacillariophyta) from the Mula-Mutha River Basin, India

2024· article· en· W4400933386 on OpenAlexaff
Pratyasha Nayak, Mital Thacker, Paul B. Hamilton, Balasubramanian Karthick

Bibliographic record

VenuePhytotaxa · 2024
Typearticle
Languageen
FieldMaterials Science
TopicDiatoms and Algae Research
Canadian institutionsCanadian Museum of Nature
Fundersnot available
KeywordsBiologyDiatomStructural basinEcologyBotanyPaleontology

Abstract

fetched live from OpenAlex

While conducting a seasonal assessment of the Mula-Mutha River basin in Maharashtra, India, an unknown taxon of the genus Geissleria was observed from an oligotrophic stream connected to the Mutha River. This taxon is described here as new to science based on detailed light and scanning electron microscopic observations. The characteristics of this new species used to assign it to the genus Geissleria include triundulate valve margins, a straight and filiform raphe structure, lineolate striae, and the presence of annuli a circular or semi-circular hyaline area positioned on the valve apices. In G. triundulata sp. nov., the annulus is barely visible in light microscopy. The present study discusses the morphology of this new species compared to other Geissleria species, undertaking a thorough analysis of various morphological features observed in members of the genus Geissleria. This new taxon resembles G. lubilensis and G. fogedii in having a slightly triundulate margin but differs in their broad and protracted valve apices, holding differences from the new species. This study also presents a brief discussion concerning the ecology of the newly discovered species and the worldwide distribution of all Geissleria species.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.266
Teacher spread0.245 · 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 designObservational
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

Citations0
Published2024
Admission routes1
Has abstractyes

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