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Record W2775615499 · doi:10.1007/s11104-017-3488-2

Correction to: Organic phosphorus in the terrestrial environment: a perspective on the state of the art and future priorities

2017· article· en· W2775615499 on OpenAlexaff
Timothy George, Courtney D. Giles, Daniel Menezes‐Blackburn, Leo M. Condron, Antônio Carlos Gama-Rodrigues, Deb P. Jaisi, Friederike Lang, Andrew L. Neal, Marc Stutter, Danilo S. Almeida, Roland Bol, Kristine Grace M. Cabugao, Luisella Celi, James B. Cotner, Gu Feng, Daniel S. Goll, Moritz Hallama, Jeffrey Krueger, Claude Plassard, Anna Rosling, Tegan Darch, Tandra D. Fraser, Reiner Giesler, Alan E. Richardson, Federica Tamburini, Charles A. Shand, David G. Lumsdon, Hao Zhang, M. S. A. Blackwell, Catherine Wearing, Malika M. Mezeli, Åsgeir R. Almås, Y. Audette, Isabelle Bertrand, Elena Beyhaut, Gustavo Boitt, N. Bradshaw, Charles A. Brearley, Tom Bruulsema, P. Ciais, Vincenza Cozzolino, Paola Durán, Marı́a de la Luz Mora, Alexandre B. de Menezes, R. J. Dodd, Kari E. Dunfield, Christoph Engl, Joaquim José Frazão, Gina Garland, José Jiménez, J. Graca, S. J. Granger, A. F. Harrison, Christine Heuck, Enqing Hou, Penny J Johnes, Klaus Kaiser, Helle Astrid Kjær, Erwin Klumpp, Angela L. Lamb, Katrina A. Macintosh, Eleanor B. Mackay, J. McGrath, Catherine McIntyre, Timothy I. McLaren, E. Mészáros, Anna Missong, M. Mooshammer, C. P. Negrón, L. A. Nelson, Verena Pfahler, Patricia Poblete-Grant, M. Randall, Alex Seguel, K. Seth, Andrew Smith, M. M. Smits, J. A. Sobarzo, Marie Spohn, Keitaro Tawaraya, Mark Tibbett, P. Voroney, Håkan Wallander, L. Wang, Jun Wasaki, P. M. Haygarth

Bibliographic record

VenuePlant and Soil · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicSoil and Water Nutrient Dynamics
Canadian institutionsPlant Biotechnology InstituteUniversity of Northern British ColumbiaUniversity of Guelph
FundersBiotechnology and Biological Sciences Research CouncilNatural Environment Research CouncilSight Research UK
KeywordsPerspective (graphical)PhosphorusState (computer science)George (robot)Environmental ethicsEnvironmental scienceEcologyHistoryChemistryComputer sciencePhilosophyArt historyBiologyOrganic chemistryArtificial intelligence

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

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.

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)0.003
metaresearch head score (Gemma)0.050
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.036
Threshold uncertainty score0.120

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.050
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.002
Science and technology studies0.0020.003
Scholarly communication0.0040.002
Open science0.0040.002
Research integrity0.0090.013
Insufficient payload (model declined to judge)0.0360.023

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 head0.007
GPT teacher head0.187
Teacher spread0.180 · 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.

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

Citations12
Published2017
Admission routes1
Has abstractno

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