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Record W4388181159 · doi:10.37002/salve.ficha.23232.2

Ficha de Monodelphis emiliae

2023· dataset· es· W4388181159 on OpenAlexaff
Marcus Vinicius Brandão de Oliveira, Lena Geise, Alexandre Reis Percequillo, Ana Cláudia Delciellos, Ana Cristina Mendes de Oliveira, Cibele Rodrigues Bonvicino, Cláudia Regina da Silva, Diogo Loretto Medeiros, Jorge José Cherem, Leonardo Guimarães Lessa, Leonora Pires Costa, Liliani Marília Tiepolo, Marcelo Weksler, Martín Roberto Del Valle Alvarez, Maurício Eduardo Graipel, Michel Barros Faria, Paulo Sérgio D’Andrea.

Bibliographic record

VenueDatasets - Sistema SALVE - ICMBio · 2023
Typedataset
Languagees
FieldAgricultural and Biological Sciences
TopicInsect symbiosis and bacterial influences
Canadian institutionsImpact
Fundersnot available
KeywordsMonodelphis domesticaGeologyOpossum

Abstract

fetched live from OpenAlex

Última avaliação: 04/10/2019 Ano da publicação: 2023 Monodelphis emiliae ocorre do leste do Peru e extremo norte da Bolívia a foz do rio Tocantins, no Brasil, ocorrendo nos estados do Acre, Amazonas, Pará, Rondônia e Mato Grosso.Possui ampla área de distribuição e está presente em Unidades de Conservação.Parte de sua área de distribuição se sobrepõe ao arco do desmatamento, mas a maior parte corresponde a uma área ainda bem conservada e o impacto dessa ameaça não leva a espécie a risco de extinção no futuro próximo.Por estas razões, M. emiliae foi categorizada como Menos Preocupante (LC).

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.027
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.004
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0270.026

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 head0.032
GPT teacher head0.278
Teacher spread0.246 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2023
Admission routes1
Has abstractno

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