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Outstanding Challenges in the Transferability of Ecological Models
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.
Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.
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.
Opus teacher head0.248
GPT teacher head0.361
- Teacher spread
- 0.113 · 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
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.
The record
- Venue
- Trends in Ecology & Evolution
- Topic
- Species Distribution and Climate Change
- Field
- Environmental Science
- Canadian institutions
- Parks CanadaUniversity of TorontoSciencetech (Canada)Memorial University of NewfoundlandUniversity of British ColumbiaCanadian Parks and Wilderness Society
- Funders
- Australian Research CouncilGoyder Institute for Water ResearchFundação para a Ciência e a TecnologiaSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungCommonwealth Scientific and Industrial Research OrganisationAustralian GovernmentU.S. NavyU.S. Department of AgricultureDepartment for Environment, Food and Rural Affairs, UK GovernmentCentre of Excellence for Environmental Decisions, Australian Research CouncilNational Science Foundation
- Keywords
- TransferabilityPredictabilityIdentification (biology)Computer scienceBenchmarkingQuality (philosophy)Set (abstract data type)Data scienceManagement scienceRisk analysis (engineering)EcologyMachine learningEngineeringBusinessBiologyMathematics
- Has abstract in OpenAlex
- no