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Record W7147090299 · doi:10.26071/5c8e6be2-5b7a-4530

CTD Data for the 2021 COR2110 Cruise in the Saint-Lawrence Estuary

2021· dataset· fr· W7147090299 on OpenAlex
Jean-Carlos Montero-Serrano, Florian Jacques, Hannah Sharpe, Tina Laphengphratheng, Camille Bernier, Christian Boutot, Pascal Rioux, Sylvain Blondeau, Natalie Pisciotto, Jean-Christophe Girard Lemay, Audrey Limoges, Alexandre Normandeau

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueOGSL repository · 2021
Typedataset
Languagefr
Field
Topic
Canadian institutionsUniversité LavalNatural Resources CanadaUniversité du Québec à Rimouski
Fundersnot available
KeywordsCruiseBathymetryEstuaryCoringCTDSampling (signal processing)

Abstract

fetched live from OpenAlex

Based on a transdisciplinary approach, the purpose of the 2021-RQM-MEOPAR funded expedition (cruise COR2110, id : 2021_11) is to carry out CTD-rosette measurements, hydroacoustic surveys (high-resolution multibeam bathymetry and sub-bottom profiles), sediment coring operations, plankton net sampling in the St-Lawrence estuary between Rimouski and Sainte-Anne-des-Monts. This dataset is part of the EDMS-ISMER-QO collection

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.

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)0.005
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.065
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0130.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.004

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 head0.052
GPT teacher head0.309
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

Quick stats

Citations0
Published2021
Admission routes2
Has abstractyes

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