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Record W4377016477 · doi:10.37002/salve.ficha.30928

Ficha de Erythrodiplax melanica

2023· dataset· es· W4377016477 on OpenAlex
Paulo de Marco Júnior, Leandro Juen, Alcimar do Lago Carvalho, Arthur Brant, Daniel Silas Veras dos Santos, Danielle Anjos dos Santos, Diogo Silva Vilela, Déborah Souza Soldati Lacerda, Frederico Augusto de Atayde Lencioni, Jean Carlos Santos, José Max Barbosa de Oliveira, Karina Schmidt Furieri, Leandro Schlemmer Brasil, Marciel Élio Rodrigues, Marina Schmidt Dalzochio, Rhainer Guillermo Nascimento Ferreira, Ricardo Koroiva, Ulisses Gaspar Neiss, Walter Francisco de Ávila Júnior, Ângelo Parise Pinto

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

VenueDatasets - Sistema SALVE - ICMBio · 2023
Typedataset
Languagees
FieldEnvironmental Science
TopicEnvironmental and biological studies
Canadian institutionsEagle Ridge Hospital
Fundersnot available
KeywordsGeology

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.174
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0030.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.180

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 head0.023
GPT teacher head0.267
Teacher spread0.244 · 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