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Record W4407109013 · doi:10.1039/d4va00083h

Effect of seawater acidification on energy metabolism in the hydrocoral <i>Millepora alcicornis</i>: inhibition of citrate synthase activity indicates disruption in aerobic pathways

2025· article· en· W4407109013 on OpenAlexfundno aff
Andrea Carlina Jesulich, Mariana Machado Lauer, Laura Fernandes de Barros Marangoni, Joseane Aparecida Marques, Yuri Dornelles Zebral, Cristiano Macedo Pereira, Gustavo Duarte, Débora de Oliveira Pires, Clovis B. Castro, Emiliano Nicolas Calderón, Adalto Bianchini

Bibliographic record

VenueEnvironmental Science Advances · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOcean Acidification Effects and Responses
Canadian institutionsnot available
FundersInter-American Drug Abuse Control Commission, Organization of American StatesPakistan Atomic Energy CommissionCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorInstituto Nacional de Ciência e Tecnologia de Toxicologia AquáticaInternational Development Research CentrePetrobrasConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsCitrate synthaseMetabolismOcean acidificationSeawaterChemistryEnergy metabolismCitric acid cycleATP synthaseBiochemistryBiologyEnzymeEndocrinologyEcology

Abstract

fetched live from OpenAlex

Citrate synthase, a key enzyme involved in energy production, was inhibited after the hydrocoral Millepora alcicornis was exposed to seawater acidification for 30 days in a marine mesocosm system.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.224
Teacher spread0.219 · 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 designBench or experimental
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

Citations0
Published2025
Admission routes1
Has abstractyes

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