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Record W4313365263 · doi:10.11646/bde.45.1.9

Bryophytes of mangroves of Bocas del Toro, Panama

2022· article· en· W4313365263 on OpenAlexaff
Noris Salazar Allen, Gregorio Dauphin, Juan Carlos Villarreal, CALEB CASWELL-LEVY, ERIN R. COX, B. Espinoza-Prieto, José Gudiño L., Enrique Hernández-Rodríguez, KARLA Y. MAGAÑA-MARCIAL, Anna Mežaka, JUAN DIEGO RAMÍREZ-ROMÁN, LILISBETH RODRÍGUEZ, ARIANTI ROJAS CARVAJAL, CAMILA ROMERO-MORENO, AKIKO TOMITANI, KATHERINE ZEBALLOS-GRIJALVA

Bibliographic record

VenueBryophyte Diversity and Evolution · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBryophyte Studies and Records
Canadian institutionsUniversité du Québec en Abitibi-TémiscamingueUniversity of AlbertaUniversité Laval
FundersSmithsonian Tropical Research InstituteSmithsonian Institution
KeywordsMangroveBryophytePanamaGeographyBiodiversityDeforestation (computer science)RhizophoraceaeEcologyVegetation (pathology)BotanyForestryBiology

Abstract

fetched live from OpenAlex

This is the first survey of bryophyte diversity in the mangroves of Panama. The study was done in the mangroves of Bocas del Toro Province, Panama, in September 2016 and, July, May and August 2017. Bryophytes were collected from prop or stilt roots of mangroves, the mid-lower part of the trunks and the lower branches. In areas inundated at high tide, additional samples were collected on the cortex of palms, its rootlets, other angiosperm trees and from decomposing logs. Twenty-six species of liverworts and seven of mosses were identified. The most diverse and predominant liverwort family was the Lejeuneaceae with twenty-two species and two varieties and, among the mosses, the Calymperaceae with three species. Species affinities with other tropical mangroves were analyzed and liverworts were found to be the dominant element. Among the liverworts collected, two are new reports for Panama: Ceratolejeunea confusa and Frullanoides mexicana. Additional surveys of the cryptogamic vegetation of Panamanian mangroves are urgently needed due to the accelerated deforestation caused by anthropic activities and the potential loss of important biodiversity.

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 score0.032
Threshold uncertainty score0.063

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 studies0.0010.000
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 head0.013
GPT teacher head0.166
Teacher spread0.154 · 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

Citations2
Published2022
Admission routes1
Has abstractyes

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