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Record W3044508150 · doi:10.1105/tpc.20.00358

Araport Lives: An Updated Framework for Arabidopsis Bioinformatics

2020· letter· en· W3044508150 on OpenAlexaff
Asher Pasha, Sabarinath Subramaniam, Alan Cleary, Xingguo Chen, Tanya Berardini, Andrew Farmer, Christopher D. Town, Nicholas J. Provart

Bibliographic record

VenueThe Plant Cell · 2020
Typeletter
Languageen
FieldAgricultural and Biological Sciences
TopicPlant nutrient uptake and metabolism
Canadian institutionsUniversity of Toronto
FundersAgricultural Research ServiceBiotechnology and Biological Sciences Research CouncilDirectorate for Biological SciencesU.S. Department of AgricultureNational Science Foundation
KeywordsArabidopsisArabidopsis thalianaFoundation (evidence)Resource (disambiguation)Computational biologyComputer scienceBiologyData scienceBioinformaticsGeographyGeneGenetics

Abstract

fetched live from OpenAlex

Conceived as a replacement for the anticipated retirement of The Arabidopsis Information Resource (TAIR), the Araport project was funded by the U.S. National Science Foundation (NSF) in 2013 to develop a new, extensible framework for Arabidopsis ( Arabidopsis thaliana ) bioinformatics that would

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.056
Threshold uncertainty score0.422

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.038
GPT teacher head0.215
Teacher spread0.177 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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

Citations49
Published2020
Admission routes1
Has abstractyes

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