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Record W4402553108 · doi:10.1093/jcbiol/ruae050

Large branchiopods (Anostraca, Notostraca, Laevicaudata, Spinicaudata) from the semi-arid regions of western India

2024· article· en· W4402553108 on OpenAlexaff
Avinash Isaac Vanjare, Prashant Manohar Katke, S. Padhye

Bibliographic record

VenueJournal of Crustacean Biology · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine Biology and Ecology Research
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsAnostracaBiologyBranchiopodaZoologyEcologyCladoceraCrustacean

Abstract

fetched live from OpenAlex

Abstract Large branchiopod crustaceans are flagship species of temporary water bodies, especially in arid and semi-arid regions. Less information is available about the large branchiopods of tropical Asia compared to other parts of the world such as the Americas. To reduce this disparity, we surveyed large branchiopods from the semi-arid region of Maharashtra state, India. Sampling at 29 sites over four years revealed nine species representing four orders. This is the highest diversity ever reported from a single regional study in India. Anostracans were the most commonly occurring group, whereas the spinicaudatans Leptestheria cf. nobilisSars, 1900, L. jaisalmerensisTiwari, 1962, and Eulimnadia michaeliNayar & Nair, 1968 were very rare. Leptestheria jaisalmerensis had been known previously only from its type locality nearly 1,200 km north of our study region. Congeneric assemblages of the anostracans Streptocephalus dichotomusBaird, 1860 + S. simplexGurney, 1906 and the spinicaudatans Leptestheria cf. nobilis + L. jaisalmerensis were collected. Temporary aquatic habitats are threatened due to adverse anthropogenic activities, especially in developing countries like India. The endemic species of large branchiopods in the Indian subcontinent should be red-listed, as is done elsewhere.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.024
GPT teacher head0.297
Teacher spread0.273 · 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.

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

Citations2
Published2024
Admission routes1
Has abstractyes

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