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Record W4246088824 · doi:10.1002/2013eo440004

Honors

2013· article· en· W4246088824 on OpenAlexaboutno aff

Bibliographic record

VenueEos · 2013
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOcean Acidification Effects and Responses
Canadian institutionsnot available
Fundersnot available
KeywordsOceanographyExcellenceOcean scienceClimate changeCitationLibrary sciencePolitical scienceGeologyLawComputer science

Abstract

fetched live from OpenAlex

Scott Doney , senior scientist and director of the Ocean and Climate Change Institute at the Woods Hole Oceanographic Institution, has been awarded the 2013 A. G. Huntsman Award for Excellence in Marine Science, which the Royal Society of Canada grants to an oceanographer “who has made significant contributions in the fields of marine geosciences, physical or chemical oceanography, or biological and fisheries oceanography.” The citation notes that the award is “in recognition of his fundamental contributions to our understanding of the role of ocean biology in global biochemical cycles; for his analysis of the vulnerability of ocean biological processes to global change, particularly ocean acidification; for his leadership in bringing the community's intellectual assets to bear on some of the most pressing scientific problems of our time; and for his tireless efforts to educate both students of oceanography and the general public on complex issues related to changes in the global ocean.”

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.557
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0130.009

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 head0.168
Teacher spread0.162 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2013
Admission routes1
Has abstractyes

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