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Record W4399737710 · doi:10.1640/0002-8444-114.2.127

Isoetes bilaspurensis (Isoetaceae – Lycopodiopsida), New to Southern India: An Extended Distribution and Redescription

2024· article· en· W4399737710 on OpenAlexaff
Pradeep K. Shukla, S. K. Singh, Daniel F. Brunton, Santosh Kumar Shukla, Anant Prakash Patil, Nawal Kishore Dubey

Bibliographic record

VenueAmerican Fern Journal · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFern and Epiphyte Biology
Canadian institutionsCanadian Museum of Nature
Fundersnot available
KeywordsGeographyDistribution (mathematics)BiologyEcologyBotanyMathematics

Abstract

fetched live from OpenAlex

The authors discovered a previously unknown population of Isoetes at Badami in Bagalkot district of Karnataka state, India in October 2022 which is determined to be I. bilaspurensis. This represents a new record for the Deccan plateau of Southern India and a significant disjunction from its previously known distribution in Chhattisgarh and Madhya Pradesh, Central India. In light of this additional information a revised, detailed description of I. bilaspurensis is presented. Morphological comparisons with closely related taxa, its conservation status, and the phytogeographic implications of its distribution are also provided.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

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 studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.013
GPT teacher head0.234
Teacher spread0.221 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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