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Record W3133591311 · doi:10.11646/phytotaxa.487.3.3

A guide to the identification of diaspores of the main macrophytes in the Pantanal

2021· article· en· W3133591311 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

VenuePhytotaxa · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotany, Ecology, and Taxonomy Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBiologyCyperaceaeBotanyEcologyMacrophyteTaxonAquatic plantDiaspore (botany)Seed dispersalBiological dispersalPoaceae

Abstract

fetched live from OpenAlex

As a major component in plant evolution and reproduction, diaspores are often central to research, not only in botany, but also in zoology, ecology, and limnology. Yet, identification of these structures without the original plant is difficult and hinder the development of research in cases in which the mother plant is not known e.g. in seed bank research or studies with animals (stomach contents, feces, nests) that are associated with diaspores. This guide is a novel resource to the identification of the main species of the Pantanal’s aquatic flora, with high quality photographs of diaspores—except for grass-like Cyperaceae. Diaspores were collected from 53 species (22 families) that occur in different water bodies in the Pantanal. Photographs were organized in plates in alphabetical order of plant families according to APG IV. Among represented taxa are macroalgae (Chara and Nitella), ferns (Salvinia and Marsilea) and Angiosperms (Onagraceae (7), Fabaceae (7), Alismataceae (6), and Polygonaceae (5) presented the highest number of species). This guide also can contribute to insights into community patterns prior to disturbances, carried out through seed bank identification, important in environmental restoration work.

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 score0.428
Threshold uncertainty score0.891

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 head0.022
GPT teacher head0.240
Teacher spread0.218 · 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