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Syzygiella teres (Machantiophyta) de la Isla Elefante, Antártida

2019· article· es· W2952694090 on OpenAlexaff
Guillermo M. Suárez, Juçara Bordin, Paulo Eduardo Aguiar Saraiva Câmara

Bibliographic record

VenueBoletín de la Sociedad Argentina de Botánica · 2019
Typearticle
Languagees
FieldEnvironmental Science
TopicPolar Research and Ecology
Canadian institutionsWeyerhauser (Canada)
Fundersnot available
KeywordsANTBiologyHumanitiesEcologyArt

Abstract

fetched live from OpenAlex

Introducción y objetivos: La flora de hepáticas de la Isla Elefante, Antártida, está constituida por seis especies: Cephalozia badia, Cephaloziella varians, Anthelia juratzkana, Barbilophozia hatcheri, Lophoziopsis excisa, y Syzygiella jacquinotii. El objetivo de esta comunicación es registrar a Syzygiella teres para la isla. M&M: Las hepáticas fueron estudiadas mediante técnicas convencionales para briófitas y montadas en solución de Hoyer. Resultados: Syzygiella teres se caracteriza por las hojas no lobadas con los márgenes hialinos. La especie es brevemente descrita e ilustrada. Se presenta una clave para las hepáticas foliosas presentes en la Isla Elefante.

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 score0.016
Threshold uncertainty score0.031

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 communication0.0010.000
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 head0.004
GPT teacher head0.272
Teacher spread0.268 · 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
Published2019
Admission routes1
Has abstractyes

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