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Record W2956271753 · doi:10.3389/fmars.2019.00423

Global Perspectives on Observing Ocean Boundary Current Systems

2019· article· en· W2956271753 on OpenAlexaff
Robert E. Todd, Francisco P. Chávez, Sophie Clayton, Sophie Cravatte, Marlos Góes, Michelle Graco, Xiaopei Lin, Janet Sprintall, Nathalie Zilberman, Matthew Archer, Javier Arı́stegui, Magdalena Balmaseda, John M. Bane, Molly Baringer, John A. Barth, Lisa M. Beal, Peter Brandt, Paulo H. R. Calil, Edmo Campos, Luca Centurioni, María Paz Chidichimo, Mauro Cirano, Meghan F. Cronin, Enrique Curchitser, Russ E. Davis, Marcus Dengler, Brad deYoung, Shenfu Dong, Rubén Escribano, Andrea J. Fassbender, Sarah E. Fawcett, Ming Feng, Gustavo Goñi, Alison R. Gray, Dimitri Gutiérrez, Dave Hebert, Rebecca Hummels, Shin‐ichi Ito, Marjolaine Krug, F. Lacan, Lucas C. Laurindo, Alban Lazar, Craig M. Lee, Matthieu Lengaigne, Naomi M. Levine, John Middleton, Ivonne Montès, Mike Muglia, Takeyoshi Nagai, Hilary I. Palevsky, Jaime B. Palter, Helen E. Phillips, Alberto Piola, Albert J. Plueddemann, Bo Qiu, Regina R. Rodrigues, Moninya Roughan, Daniel L. Rudnick, Ryan R. Rykaczewski, Martín Saraceno, Harvey Seim, Alex Sen Gupta, L. V. Shannon, Bernadette M. Sloyan, Adrienne J. Sutton, LuAnne Thompson, Anja K. van der Plas, Denis L. Volkov, John Wilkin, Dongxiao Zhang, Linlin Zhang

Bibliographic record

VenueFrontiers in Marine Science · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOceanographic and Atmospheric Processes
Canadian institutionsBedford Institute of OceanographyFisheries and Oceans CanadaMemorial University of Newfoundland
FundersWoods Hole Oceanographic Institution
KeywordsBoundary currentCurrent (fluid)Boundary (topology)Environmental scienceEarth system scienceEnvironmental resource managementOcean currentMeteorologyClimatologyGeographyOceanographyGeologyMathematics

Abstract

fetched live from OpenAlex

Ocean boundary current systems are key components of the climate system, are home to highly productive ecosystems, and have numerous societal impacts. Establishment of a global network of boundary current observing systems is a critical part of ongoing development of the Global Ocean Observing System. The characteristics of boundary current systems are reviewed, focusing on scientific and societal motivations for sustained observing. Techniques currently used to observe boundary current systems are reviewed, followed by a census of the current state of boundary current observing systems globally. Next steps in the development of boundary current observing systems are considered, leading to several specific recommendations.

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)0.005
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0010.003
Scholarly communication0.0030.010
Open science0.0010.003
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0070.002

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 head0.006
GPT teacher head0.210
Teacher spread0.204 · 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

Citations70
Published2019
Admission routes1
Has abstractyes

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