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Record W3096562781 · doi:10.1111/mec.15702

Sharing and reporting benefits from biodiversity research

2020· article· en· W3096562781 on OpenAlexaffabout
Emily Marden, Richard J. Abbott, Frédéric Austerlitz, Daniel Ortíz-Barrientos, Regina S. Baucom, Pim Bongaerts, Aurélie Bonin, Camille Bonneaud, Luke Browne, C. Alex Buerkle, Ana L. Caicedo, David W. Coltman, Mitchell B. Cruzan, Angus Davison, J. Andrew DeWoody, Alex J. Dumbrell, Brent C. Emerson, Nicholas M. Fountain‐Jones, Rosemary G. Gillespie, Tatiana Giraud, Michael M. Hansen, Kathryn A. Hodgins, Myriam Heuertz, Shotaro Hirase, Rebecca Hooper, Paul A. Hohenlohe, Nolan C. Kane, Joanna L. Kelley, Andrew P. Kinziger, Valerie J. McKenzie, Corrie S. Moreau, Alison G. Nazareno, Tara A. Pelletier, Josephine M. Pemberton, Yanhua Qu, Sébastien Renaut, Cynthia Riginos, Naiara Rodríguez‐Ezpeleta, Sean M. Rogers, Jacob A. Russell, Sean D. Schoville, Suhua Shi, Megan L. Smith, Victoria L. Sork, Graham N. Stone, Pierre Taberlet, Elin Videvall, Lisette P. Waits, Emily Warschefsky, Robert K. Wayne, Annabel Whibley, Janna R. Willoughby, Jeremy B. Yoder, Lucie Zinger, Benjamin Sibbett, Shawn R. Narum, Loren H. Rieseberg

Bibliographic record

VenueMolecular Ecology · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental DNA in Biodiversity Studies
Canadian institutionsUniversity of CalgaryUniversity of AlbertaUniversity of British Columbia
Fundersnot available
KeywordsBiodiversityBiologyEcologyEcosystemEcosystem servicesTropicsSpecies richnessPhylogenetic diversitySubtropicsGlobal biodiversityPhylogenetic tree

Abstract

fetched live from OpenAlex

International audience

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.055
metaresearch head score (Gemma)0.313
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Open science
Consensus categoriesnone
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.996
Threshold uncertainty score0.412

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0550.313
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0240.025
Science and technology studies0.0030.003
Scholarly communication0.0160.015
Open science0.0040.028
Research integrity0.0070.004
Insufficient payload (model declined to judge)0.1230.045

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 head0.093
GPT teacher head0.278
Teacher spread0.185 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
DomainReporting
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

Citations33
Published2020
Admission routes2
Has abstractyes

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