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Record W4415482173 · doi:10.1126/science.adq8520

Calcifying plankton: From biomineralization to global change

2025· review· en· W4415482173 on OpenAlexaff
Patrizia Ziveri, Gerald Langer, Sonia Chaabane, Joost de Vries, William R. Gray, Nina Keul, Ian Hatton, Clara Manno, Richard D. Norris, Sven Pallacks, J. R. Young, Ralf Schiebel, Stergios D. Zarkogiannis, Griselda Anglada‐Ortiz, Stefania Bianco, Thibault de Garidel‐Thoron, Michaël Grelaud, Arturo Lucas, Ian Probert, P. Graham Mortyn

Bibliographic record

VenueScience · 2025
Typereview
Languageen
FieldEarth and Planetary Sciences
TopicOcean Acidification Effects and Responses
Canadian institutionsMcGill University
Fundersnot available
KeywordsBiogeochemical cyclePlanktonGlobal changeBiomineralizationCarbon cycleAlkalinityOcean acidificationClimate changePelagic zone

Abstract

fetched live from OpenAlex

The cycling of calcium carbonate (CaCO 3 ) in the ocean is closely linked to seawater alkalinity and the regulation of atmospheric CO 2 . In the modern pelagic ocean, almost all CaCO 3 is produced by three groups of calcifying planktonic organisms: coccolithophores, foraminifers, and shelled pteropods. In this Review, we examine the differences in functional traits that define each group’s distinctive role in the global carbon cycle and their sensitivity to climate change and ocean acidification. This synthesis reveals that a single representation of CaCO 3 in climate models is unlikely to accurately reflect system dynamics or their impacts on biogeochemical cycling under climate change. We argue that understanding past and future CaCO 3 cycle requires a better delineation of the traits that make up the diversity of calcifying plankton groups.

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 distilled prediction

Teacher imitation

Not 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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.998
Threshold uncertainty score0.884

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.088
GPT teacher head0.366
Teacher spread0.279 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreReview

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

Citations14
Published2025
Admission routes1
Has abstractyes

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