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Record W4402336342 · doi:10.7828/ajob.v15i1.1644

An Update of Species in the <i>Metaphire Genus</i> along with <i>Metaphire Inclara</i> (Gates, 1932) (Oligochaeta: Megascolecidae): A New Record in India

2024· article· en· W4402336342 on OpenAlexaff
Md. Nurul Hasan, John W. Reynolds, Shyamasree Ghosh, Chandra Kanta Manda, Mustafa Ceylan

Bibliographic record

VenueAsian Journal of Biodiversity · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInvertebrate Taxonomy and Ecology
Canadian institutionsGovernment of New Brunswick
FundersMinistry of Environment, Forest and Climate ChangeMinistry of Environment
KeywordsGenusBiologyZoology

Abstract

fetched live from OpenAlex

This study was conducted to contribute to the understanding of Asian biodiversity in terms of earthworms. Specimens were collected from the soil, fixed in 5% formalin, transferred to ethanol for preservation, and examined using a stereomicroscope with taxonomic characteristics. This study presents the initial documentation of Metaphire inclara (Gates, 1932) in India. This increased the number of species in the genus of Metaphire from 11 to 12 for India. As updated, the species in the genus of Metaphire in India are Metaphire andamanensis (Michaelsen, 1907), Metaphire anomala (Michaelsen, 1907), Metaphire bahli (Gates, 1945), Metaphire birmanica (Rosa, 1888), Metaphire californica (Kinberg, 1867), Metaphire harrietensis (Stephenson, 1925), Metaphire houlleti (Perrier, 1872), Metaphire peguana (Rosa, 1890), Metaphire planata (Gates, 1926), Metaphire posthuma (Vaillant, 1868), and Metaphire scitula (Gates, 1936). We offer a concise description, distribution data, an identification key, and a comprehensive species list for the taxa under investigation. Keywords: Earthworms, India, Metaphire , new record, taxonomy

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)0.001
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: none
Teacher disagreement score0.011
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.005
Science and technology studies0.0020.002
Scholarly communication0.0010.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.014
GPT teacher head0.193
Teacher spread0.178 · 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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