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Globally invariant metabolism but density-diversity mismatch in springtails
Anton Potapov, Carlos A. Guerra, Johan van den Hoogen, А. Б. Бабенко, Bruno Cavalcante Bellini, Matty P. Berg, Steven L. Chown, Louis Deharveng, Ľubomír Kováč, Natalia A. Kuznetsova, Jean‐François Ponge, Mikhail Potapov, David J. Russell, Douglas Alexandre, Juha M. Alatalo, Javier Ignacio Arbea Polite, Ipsa Bandyopadhyaya, Verónica Bernava, Stef Bokhorst, Thomas Bolger, Gabriela Castaño‐Meneses, Matthieu Chauvat, Ting-Wen Chen, Mathilde Chomel, Aimée T. Classen, Jérôme Cortet, Peter Čuchta, Ana Manuela de la Pedrosa, Susana S. D. Ferreira, Cristina Fiera, Juliane Filser, Oscar Franken, Saori Fujii, Essivi Gagnon Koudji, Meixiang Gao, Benoît Gendreau-Berthiaume, Diego F. Gomez-Pamies, Michelle Greve, I. Tanya Handa, Charlène Heiniger, Martin Holmstrup, Pablo Homet, Mari Ivask, Charlene Janion‐Scheepers, Malte Jochum, Sophie Joimel, Bruna Claudia S. Jorge, Edīte Juceviča, Olga Ferlian, Luís Carlos Iuñes de Oliveira Filho, Osmar Klauberg Filho, Dilmar Baretta, Eveline J. Krab, Annely Kuu, Estevam Cipriano Araújo de Lima, Dunmei Lin, Zoë Lindo, Amy Liu, Jing‐Zhong Lu, María José Luciáñez Sánchez, Michael Thomas Marx, Matthew A. McCary, Maria A. Minor, Taizo Nakamori, Ilaria Negri, Raúl Ochoa‐Hueso, José G. Palacios‐Vargas, Melanie M. Pollierer, Pascal Querner, Natália Raschmanová, Muhammad Imtiaz Rashid, Laura J. Raymond-Léonard, Laurent Rousseau, Ruslan A. Saifutdinov, Sandrine Salmon, Emma J. Sayer, Nicole Scheunemann, Cornelia Scholz, Julia Seeber, Yulia B. Shveenkova, Sophya Stebaeva, Maria Sterzyńska, Xin Sun, Winda Ika Susanti, А. А. Таскаева, Madhav P. Thakur, Maria Α. Tsiafouli, Matthew S. Turnbull, Mthokozisi N. Twala, Alexei V. Uvarov, Lisa Venier, Lina A. Widenfalk, Bruna Raquel Winck, Dániel Winkler, Donghui Wu, Zhijing Xie, Rui Yin, Douglas Zeppelini, Thomas W. Crowther, Nico Eisenhauer, Stefan Scheu
Bibliographic record
VenueNature Communications · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSoil Carbon and Nitrogen Dynamics
Canadian institutionsNatural Resources CanadaCanadian Forest ServiceUniversité du Québec en OutaouaisWestern UniversityUniversité du Québec à Montréal
FundersFondo para la Investigación Científica y TecnológicaNatural Resources CanadaNatural Sciences and Engineering Research Council of CanadaRussian Science FoundationConselho Nacional de Desenvolvimento Científico e TecnológicoVedecká Grantová Agentúra MŠVVaŠ SR a SAVOffice of Energy Research and DevelopmentLatvijas Zinātnes PadomeFundamental Research Funds for the Central UniversitiesEuropean CommissionEesti TeadusfondiMinisterio de Ciencia e InnovaciónAgencia Nacional de Promoción Científica y TecnológicaAustralian GovernmentAgence Nationale de la RechercheNederlandse Organisatie voor Wetenschappelijk OnderzoekCarl Tryggers Stiftelse för Vetenskaplig ForskningMassey UniversityNational Natural Science Foundation of ChinaQatar PetroleumRussian Foundation for Basic ResearchDeutsche ForschungsgemeinschaftFundação de Amparo à Pesquisa e Inovação do Estado de Santa CatarinaDeutscher Akademischer AustauschdienstHigher Education Commision, Pakistan
KeywordsSpringtailTundraEcologySpecies richnessBiodiversityBiologyBiomass (ecology)Terrestrial ecosystemEcosystem
Abstract
OpenAlex records an abstract for this work, but it could not be fetched just now.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.297
Threshold uncertainty score0.964
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 head0.030
GPT teacher head0.254
Teacher spread0.225 · 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Citations133
Published2023
Admission routes2
Has abstractyes