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Record W6929415741 · doi:10.48433/cr_msm123

Bubble (Mediated) Exchange in the Labrador Sea (BELS), Cruise No. MSM123, 24.11.2023 - 27.12.2023, Halifax, Canada - St. John's, Canada

2024· report· en· W6929415741 on OpenAlex

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueHelmholtz Centre for Ocean Research Kiel (GEOMAR) · 2024
Typereport
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsForcing (mathematics)Biogeochemical cycleGeostrophic windBubbleCruiseTrace gasUpwelling

Abstract

fetched live from OpenAlex

The Labrador Sea is a high latitude region of the ocean where open ocean deep convection and seasonal solubility and biology-driven changes occur faster than air-sea gas exchange can re-establish air-sea equilibrium. It is, consequently, one of the most intense sinks for carbon dioxide (CO2) and oxygen (O2) globally. Although it is clear that high-latitude regions are key for ocean-atmosphere transfer and sequestration in the deep ocean, our knowledge of the basic forcing mechanisms at play there remain very uncertain. Gas, momentum, and heat exchange are highly nonlinear functions of wind speed, indicating that mechanisms operating at high winds, such as bubble-mediated transfer, need to be constrained. Global change issues such as increasing temperatures, ocean acidification, and ocean deoxygenation are interlinked and in order to understand the changes in uptake, biogeochemical cycling, and feedback processes of environmentally important gases, mechanisms controlling their air-sea exchange must be understood. Bubble-mediated gas exchange is under-represented in models, in part due to a lack of mechanistic understanding and, thus, limited ability to parameterise its contribution to the overall gas flux. The overarching objective of BELS is to understand and quantify bubble-mediated gas exchange mechanisms. Special attention will be given to the forcing and parametrisation of air–sea exchange for the insoluble gas O2. We will employ range of complementary techniques to tackle the questions posed, including eddy covariance direct fluxes, continuous profiling, tracer release, noble gases, and direct bubble characterisation. By combining these techniques, we will have the major advantage of connecting bubble process understanding with comprehensive flow, gas saturation and gas flux measurements, and directly observing bubble-mediated gas uptake mechanisms.

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)0.018
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.632
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0180.015
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0030.007
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0070.003
Research integrity0.0020.009
Insufficient payload (model declined to judge)0.0040.003

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 head0.069
GPT teacher head0.326
Teacher spread0.257 · 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