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Record W1976265972 · doi:10.1080/14888386.2012.690560

Inventory and spatial ecology of macrofungi in the <i>Shorea robusta</i> forest ecosystem of lateritic region of West Bengal

2012· article· en· W1976265972 on OpenAlex

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

VenueBiodiversity · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsShorea robustaHabitatEcologySpecies richnessDipterocarpaceaeForest ecologyGeographyEcosystemAgroforestryBiodiversityBiologyForestry

Abstract

fetched live from OpenAlex

Macrofungi are broad in diversity and play an important role in sustaining ecosystems. However, the quantity and quality of their habitat is decreasing and the threat of extinction looms over the remaining 95% of the world's undiscovered fungal species. There is an urgent need for inventorisation, monitoring and conservation of macrofungi and the habitats supporting their growth. This paper focuses on the species richness, assemblage and spatial ecology of the macrofungi whose lifecycles are intricately woven with natural Shorea robusta forests in the lateritic region of West Bengal, India. Decreasing soil productivity, poor regeneration of Shorea seedlings and subsequent habitat degradation for macrofungi are a prime cause of concern.

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)0.000
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 score0.004
Threshold uncertainty score0.826

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 head0.019
GPT teacher head0.181
Teacher spread0.163 · 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