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Record W3133732916 · doi:10.46357/bcnaturais.v9i3.506

Floral biology and visitors of Montrichardia arborescens (L.) Schott (Araceae) in Caxiuanã National Forest, Amazon Region, Brazil

2014· article· en· W3133732916 on OpenAlexafffund
Camila Nonato Junqueira, Jennifer L. Muir, Alana Pindar

Bibliographic record

VenueBoletim do Museu Paraense Emílio Goeldi - Ciências Naturais · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Diversity and Evolution
Canadian institutionsYork UniversityUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsInflorescenceAraceaeBiologyAmazon rainforestMorningBotanyHorticultureEcology

Abstract

fetched live from OpenAlex

The genus Montrichardia is widely distributed across the Brazilian Amazon, however very little is known about its floral biology and floral visitors. This study, carried out over four days in September 2011 in the Caxiuanã National Forest aimed to investigate aspects of floral biology such as inflorescence growth, reproductive function, fruit size and principal visitors of Montrichardia arborescens in eastern Amazonia. It was estimated that the inflorescences monitored over the four day period were open for between 48-72 hours. Open inflorescences emitted more heat during morning visits compared to evening visits. Floral visitor numbers were dramatically lower than those reported in other studies. Out of the 75 individuals of Montrichardia arborescens observed, only seven received visitors. Results also showed no significant difference in pollen viability across measured spadix sections. Lastly, the number of carpels per fruit showed no significant effect on fruit size and shape.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
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 head0.010
GPT teacher head0.224
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 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
Published2014
Admission routes2
Has abstractyes

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