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Record W4293224117 · doi:10.31668/rbc.v11i1.12589

Morfo-anatomia de Nectandra nitidula nees (canela-amarela), coletada em Ingaí-MG

2022· article· pt· W4293224117 on OpenAlexaff
Anndreisa Christiny Monteiro

Bibliographic record

VenueRevista de Biotecnologia & Ciência (ISSN 2238-6629) · 2022
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicPlant Diversity and Evolution
Canadian institutionsSafran Electronics (Canada)
Fundersnot available
KeywordsLauraceaeBiologyHorticultureBotany

Abstract

fetched live from OpenAlex

Nectandra nitidula Nees é uma espécie popularmente conhecida como “canela-amarela”, pertencente à família Lauraceae, com distribuição tropical e subtropical, muito comum em matas próximas de rios ou locais antropizados, localizadas nas áreas de Cerrados. O presente estudo objetivou avaliar a morfologia e anatomia foliar da espécie a fim de fornecer informações morfoanatômicas e expandir os estudos biológicos botânicos. As lâminas foliares foi submetido à técnica de corte de mão livre, cortes paradérmicos e transversais para visualização de estômatos e aspectos da anatomia interna, sob o preparo de lâminas semi-permanentes, submetidas à dupla coloração, com o Azul de Astra 80% e a Safranina 0,5%. A anatomia foliar revelou uma epiderme uniestratificada com cera intracuticular, estômatos tetracíticos em ambas as faces epidérmicas, situados no mesmo nível ou ligeiramente abaixo das demais, com maior número na face adaxial, ausência de tricomas, mesofilo dorsiventral, nervura central com feixe vascular colateral, envolto por bainha parenquimática.

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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.208
Teacher spread0.190 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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