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Record W2791221979 · doi:10.11646/phytotaxa.344.3.10

Rediscovery of Rhipsalis ewaldiana Barthlott & N.P. Taylor (Cactaceae): notes of morphology and conservation of an endemic and threatened species from the Brazilian Atlantic Forest

2018· article· en· W2791221979 on OpenAlexaboutno aff
Diego Rafael Gonzaga, LUCAS MORAES, Lucas Veronezi Feitosa de Vasconcelos, Ricardo Carneiro da Cunha Reis

Bibliographic record

VenuePhytotaxa · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotanical Research and Applications
Canadian institutionsnot available
FundersInnovation and Networks Executive Agency
KeywordsThreatened speciesBiologyEndemismBiodiversityEcologyHabitatHabitat destructionEndangered speciesAtlantic forestSubtropicsTaxon

Abstract

fetched live from OpenAlex

Cactaceae Juss. is a family which comprises 124 genera and about 1438 species distributed from Canada to Patagonia, with the largest diversity in tropical and subtropical regions of Americas (see e.g., Hunt et al. 2006). The flora of Brazil includes 39 Cactaceae genera and 261 species, of which 14 genera and 54 species can be found the Rio de Janeiro state, highlighting the importance of this state to the biodiversity of Brazilian cacti (see BFG 2015). These species are highly affected by anthropic disturbances, which cause rapid habitat destruction, especially affecting the narrowly distributed endemic taxa, with 31% of the family being threatened, demonstrating the high anthropogenic pressures on the biodiversity in arid lands (Goettsch et al. 2015).

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)0.000
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: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.050
GPT teacher head0.274
Teacher spread0.224 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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