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Record W7115891839 · doi:10.25850/nioz/7b.b.ck

MetalGate cruise data

2025· dataset· W7115891839 on OpenAlexaff

Bibliographic record

VenueHelmholtz Centre for Ocean Research Kiel (GEOMAR) · 2025
Typedataset
Language
Field
Topic
Canadian institutionsDalhousie University
Fundersnot available
KeywordsSampling (signal processing)CTDTrace metalVolume (thermodynamics)Hydrology (agriculture)CruisePort (circuit theory)Trace element

Abstract

fetched live from OpenAlex

The expedition 64PE474 aboard RV Pelagia started on the 18th of July 2021, leaving from Reykjavik (Iceland), half a day later than initially planned owing to delayed luggage that also contained essential equipment for the expedition. The expedition ended on August 16th 2021, also in Reykjavik (Iceland). During the expedition, samples were taken using several systems. The ‘Titan’ ultraclean CTD sampling system (UCC) for trace metal collection (De Baar, et al. 2008), mounted with pristine large volume samplers (Rijkenberg, et al. 2015), was used the most as part of the trace metal focal point of the expedition. The large volume Pristine samplers were made from polypropylene to allow sampling for light sensitive phytoplankton. After deployment, the complete CTD sampling system was placed in a cleanroom environment inside a modified high cube shipping container where subsamples were collected for trace metals, isotopes, ligands, and various auxiliary parameters (see section 2.4). The other deployed instruments included a conventional CTD rosette system (CTD), a multi-corer (MUC) to collect sediment cores from which samples were taken for both sediments and porewaters, and a novel bottom gradient sampler (BGS) to sample dissolved and particulate trace metals close to the seafloor. Overall, 38 full depth stations were sampled with in total 38 UCC casts, 14 CTD casts, 19 BGS casts, and 13 MUC casts. Additionally, 2 shallow stations (station 4 and 26) were occupied to collect surface water to start the planned bioassays. During the expedition, 2 large, 6-day bio-assays were conducted (see section 2.5) to investigate the influence of Fe concentrations and temperature on phytoplankton biomass and composition. Another 2-day bioassay was also carried out to further investigate the influence of Fe and ammonium on phytoplankton productivity and composition. For these bioassays, 2 large custom-built temperature-controlled incubators where used that were place on the deck in front of the bridge of RV Pelagia where irradiance was mostly unobstructed. Additionally, 32 smaller bioassays were conducted by Willem Poll’s group at controlled temperature and irradiance levels inside a climate-controlled container laboratory on Pelagia.

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)0.040
metaresearch head score (Gemma)0.046
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 categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Open science, 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: Dataset · Consensus signal: Dataset
Teacher disagreement score0.104
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0400.046
Meta-epidemiology (narrow)0.0060.006
Meta-epidemiology (broad)0.0070.003
Bibliometrics0.0100.013
Science and technology studies0.0070.006
Scholarly communication0.0060.004
Open science0.0410.048
Research integrity0.0050.015
Insufficient payload (model declined to judge)0.0140.025

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 head0.215
GPT teacher head0.460
Teacher spread0.245 · 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 designNot applicable
Domainnot available
GenreDataset

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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