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Record W7118077016 · doi:10.56588/cp9z9194

VEGETATION DIVERSITY OF NAKSHATRA VAN, SILVASSA, DADRA & NAGAR HAVELI

2024· article· W7118077016 on OpenAlex
Aanal Maitreya, Nainesh R. Modi

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Association of Biologicals and Computational Digest · 2024
Typearticle
Language
FieldAgricultural and Biological Sciences
TopicEthnobotanical and Medicinal Plants Studies
Canadian institutionsImpact
Fundersnot available
KeywordsEvergreenVegetation (pathology)DeciduousPlant diversityDiversity (politics)Species diversityRubiaceae

Abstract

fetched live from OpenAlex

The vegetation diversity is known as plant species and ground cover of the areas. India has largest vegetation diversity conserved in different regions of India. India has a different type of vegetation diversity like evergreen forest, desert, deciduous forest, dry deciduous forest etc. Gujarat has one of the largest parts conserved in one particularly region - Nakshatra van, Silvassa, UT of Dadra and Nagar Haveli, Daman and Diu, India. It has the largest plant diversity conserved in 7 hectors of area with different plant varieties and various garden features. The Nakshatra van has a total of 201 plant species recorded in that area. It has also conserved 60 medicinal plants. Nakshatra van has 182 species which belong to 172 genera of plants. Total 81 families are recorded. In Nakshatra van, the most dominant plant family was Rubiaceae family. Nakshatra van has varieties of plant diversity conserved and maintained properly with Indian astrology themed. The Nakshatra van is one of the most famous tourist places in Silvassa.

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.

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)0.001
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 score0.182
Threshold uncertainty score0.590

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.038
GPT teacher head0.280
Teacher spread0.242 · 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