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Record W1649345020 · doi:10.5376/ija.2015.05.0027

Population and hierarchical genetic structure of <i>Badis badis</i> (Hamilton-Buchanan, 1822) in sub-Himalayan Terai region of West Bengal, India.

2015· article· en· W1649345020 on OpenAlexvenueno aff
Soumen Bhattacharjee

Bibliographic record

VenueInternational Journal of Aquaculture · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFish Biology and Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWest bengalBENGALBiologyPopulationGeographySocioeconomicsDemographyEconomicsSociologyArchaeology

Abstract

fetched live from OpenAlex

Badis badis is a threatened ornamental freshwater fish in the Indian scenario. But the population genetic background of this ichthyofauna is largely unexplored in the eastern sub-Himalayan hotspot region of West Bengal state of India, known as the Terai. We have studied six populations from two major streams (Mahananda and Balason) of the region through RAPD fingerprinting. The allelic richness, Shannon’s Information index and a measure of evenness were calculated for each population. The SHE analysis revealed the change in diversity pattern in a spatial scale. Our results indicated that the allelic richness decreased and the evenness increased in the populations as the streams drained from higher to a lower altitude. The Nei’s genetic distance, genetic identity and UPGMA dendrogram revealed that the six populations formed two distinct groups. The principal component analysis also supported the UPGMA dendrogram. The pair-wise gene differentiation and gene flow between the populations showed the hierarchical genetic structure of Badis badis in the studied region.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.303
Threshold uncertainty score0.272

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.228
Teacher spread0.215 · 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.

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

Citations2
Published2015
Admission routes1
Has abstractyes

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