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Record W3197876170 · doi:10.7554/elife.66877

Vision, challenges and opportunities for a Plant Cell Atlas

2021· article· en· W3197876170 on OpenAlexafffund

Bibliographic record

VenueeLife · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Molecular Biology Research
Canadian institutionsUniversity of TorontoUniversity of ManitobaUniversity of SaskatchewanUniversity of Alberta
FundersPacific Northwest National LaboratoryLawrence Berkeley National LaboratoryUniversity of Massachusetts AmherstInstitute of Materials Research and EngineeringUniversity of California, Los AngelesPunjab Agricultural UniversityUniversity of DelhiUniversity of New South WalesLa Trobe UniversityHelsingin YliopistoUniversity of AlbertaUniversity of OxfordWeizmann Institute of SciencePennsylvania State UniversityBahauddin Zakariya UniversityIndian Council of Agricultural ResearchRheinische Friedrich-Wilhelms-Universität BonnMichigan State UniversityNational Science FoundationUniversity of Nebraska-LincolnUniversité Catholique de LouvainUniversity of California, DavisUniversity of Wisconsin-MadisonUniversity of MissouriNanyang Technological UniversityCollege of Engineering, Michigan State UniversityPrinceton UniversityWashington State UniversityDivision of Materials ResearchArkansas State UniversityHelsinki Institute of Life Science, Helsingin YliopistoIowa State UniversityNorth Carolina State UniversityBiotechnology and Biological Sciences Research CouncilPurdue UniversityCarnegie Institution of WashingtonUniversidad VeracruzanaBayer
KeywordsAtlas (anatomy)Component (thermodynamics)Conceptual frameworkPlant metabolismMolecular cell biologyPlant development

Abstract

fetched live from OpenAlex

With growing populations and pressing environmental problems, future economies will be increasingly plant-based. Now is the time to reimagine plant science as a critical component of fundamental science, agriculture, environmental stewardship, energy, technology and healthcare. This effort requires a conceptual and technological framework to identify and map all cell types, and to comprehensively annotate the localization and organization of molecules at cellular and tissue levels. This framework, called the Plant Cell Atlas (PCA), will be critical for understanding and engineering plant development, physiology and environmental responses. A workshop was convened to discuss the purpose and utility of such an initiative, resulting in a roadmap that acknowledges the current knowledge gaps and technical challenges, and underscores how the PCA initiative can help to overcome them.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.889
Threshold uncertainty score0.087

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 science0.0000.000
Research integrity0.0000.000
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 head0.111
GPT teacher head0.271
Teacher spread0.160 · 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
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

Citations64
Published2021
Admission routes2
Has abstractyes

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