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Record W6908450484 · doi:10.26071/ogsl-9b07076f-e47b

Time-series Biogenic Matter Export Fluxes Offshore Pointe-des-Monts and Baie-Comeau

2023· dataset· en· W6908450484 on OpenAlex

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 · 2023
Typedataset
Languageen
FieldSocial Sciences
TopicEvolving Legal Systems and Governance
Canadian institutionsDalhousie UniversityGeological Survey of CanadaUniversité du Québec à RimouskiUniversity of New Brunswick
Fundersnot available
KeywordsSubmarine pipelineParticulatesSediment trapSedimentSubmarine canyonCanyonSubmarineOrganic matterTotal organic carbon

Abstract

fetched live from OpenAlex

This dataset includes measured fluxes of phytoplankton cells, total particulate matter, chloropigments, particulate organic carbon, and particulate nitrogen, as well as carbon and nitrogen isotopic signatures on samples from moored sediment traps deployed offshore Pointe-des-Monts and Baie-Comeau. The sediment trap cups were programmed to rotate approximately every two weeks from November 2020 to September 2021. Offshore Pointe-des-Monts, sinking particles were collected at depths of 154 and 224 m while offshore Baie-Comeau, sinking particles were collected at a depth of 133 m. The objective of this work is to understand the influence of an active submarine canyon system on biogenic matter export fluxes. This project was funded by Réseau Québec Maritime (RQM) and Marine Environmental Observation, Prediction, and Response Network (MEOPAR).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.544
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.003

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 head0.011
GPT teacher head0.253
Teacher spread0.243 · 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