Open Science principles for accelerating trait-based science across the Tree of Life
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Full frame distilled prediction
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.
- Candidate categories
- Metaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science
- Consensus categories
- Metaresearch
- Domain
- Candidate signal: noneConsensus signal: none
- Study design
- Candidate signal: Not applicableConsensus signal: none
- Genre
- Candidate signal: ReviewConsensus signal: Review
- Teacher disagreement score
- 0.969
- Threshold uncertainty score
- 1.000
- Validation status
machine_predicted_unvalidated·codex-gemma-dda1882f352a
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.225 | 0.265 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.008 | 0.003 |
| Bibliometrics | 0.001 | 0.009 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.024 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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.
- Teacher spread
- 0.127 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
Synthesizing trait observations and knowledge across the Tree of Life remains a grand challenge for biodiversity science. Species traits are widely used in ecological and evolutionary science, and new data and methods have proliferated rapidly. Yet accessing and integrating disparate data sources remains a considerable challenge, slowing progress toward a global synthesis to integrate trait data across organisms. Trait science needs a vision for achieving global integration across all organisms. Here, we outline how the adoption of key Open Science principles-open data, open source and open methods-is transforming trait science, increasing transparency, democratizing access and accelerating global synthesis. To enhance widespread adoption of these principles, we introduce the Open Traits Network (OTN), a global, decentralized community welcoming all researchers and institutions pursuing the collaborative goal of standardizing and integrating trait data across organisms. We demonstrate how adherence to Open Science principles is key to the OTN community and outline five activities that can accelerate the synthesis of trait data across the Tree of Life, thereby facilitating rapid advances to address scientific inquiries and environmental issues. Lessons learned along the path to a global synthesis of trait data will provide a framework for addressing similarly complex data science and informatics challenges.
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.
The record
- Venue
- Nature Ecology & Evolution
- Topic
- Meta-analysis and systematic reviews
- Field
- Decision Sciences
- Canadian institutions
- University of British Columbia
- Funders
- Division of Emerging FrontiersResearch School of Biology, Australian National UniversityNatural Environment Research CouncilBIO5 Institute, University of ArizonaBiological and Environmental ResearchStrategic Environmental Research and Development ProgramUniversitetet i BergenOffice of ScienceSchool of Life and Environmental Sciences, Deakin UniversityDeakin UniversityDeutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-LeipzigSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungUniversity of TasmaniaCommonwealth Scientific and Industrial Research OrganisationUniversity of Hawai'iDeutsche ForschungsgemeinschaftSight Research UKLeverhulme TrustU.S. Forest ServiceU.S. Department of EnergyACT GovernmentNational Science FoundationEcological Society of AmericaFairchild Tropical Botanic GardenUniversity of BernNational Climate Change Adaptation Research FacilityUniversity of MiamiUtah State UniversityU.S. Department of AgricultureIowa State University
- Keywords
- TraitTree of life (biology)Open scienceTree (set theory)PsychologyComputer scienceData scienceBiologyMathematicsStatisticsProgramming languageCombinatorics
- Has abstract in OpenAlex
- yes