MétaCan
Menu
Back to cohort
Record W4293211686 · doi:10.3407/rpn.v5i2.6847

Evaluación quimiotaxonómica preliminar de tres especies vegetales del género Piper (Piperaceae) mediante el uso de técnicas HPTLC y CPC

2022· article· es· W4293211686 on OpenAlexvenueno aff
Miguel Quintero Correa, Geison M. Costa

Bibliographic record

VenueRevista Productos Naturales · 2022
Typearticle
Languagees
FieldPharmacology, Toxicology and Pharmaceutics
TopicPiperaceae Chemical and Biological Studies
Canadian institutionsnot available
FundersPontificia Universidad Javeriana
KeywordsPiperaceaePiperHumanitiesBiologyGeographyArtBotany

Abstract

fetched live from OpenAlex

Piper es un género de especies vegetales perteneciente a la familia piperácea que se encuentra distribuido ampliamente en regiones tropicales y son de gran importancia desde el punto de vista ecológico como económico, con destaque para la especie P. nigrum, la pimienta, mundialmente empleada como especie.

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 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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.804
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0020.002
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.081
GPT teacher head0.418
Teacher spread0.337 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueRevista Productos NaturalesSame topicPiperaceae Chemical and Biological StudiesFrench-language works237,207