MétaCan
Menu
Back to cohort
Record W7082258719 · doi:10.26071/fcb7f87b-827c-4dc5

CTD Data for the 2013 Mingan cruise

2025· dataset· en· W7082258719 on OpenAlexaboutno aff

Bibliographic record

VenueOGSL repository · 2025
Typedataset
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsCTDArchipelagoCruiseWater columnNitrateShore

Abstract

fetched live from OpenAlex

The aim of the Mingan 2013 (id: 2013_06) mission is to obtain a general vision of the physicochemical parameters of the water column of the Migan Archipelago in order to validate a high-resolution numerical model. As part of this project, carried out in collaboration with Hydro-Québec, vertical CTD profiles (conductivity, temperature, depth), spread over 18 stations in the Mingan Archipelago (North Shore of Quebec), were produced. The CTD was also equipped with sensors to measure dissolved oxygen and nitrate concentrations in the water column. In addition, discrete water samples were taken at various stations and depths in order, on the one hand, to validate the nitrate sensor, and on the other hand, to provide additional information (phosphate and silicate concentrations) on the water bodies. 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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.779
Threshold uncertainty score0.440

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.007
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0380.056

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 head0.026
GPT teacher head0.266
Teacher spread0.240 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Explore more

Same venueOGSL repositorySame topicGeochemistry and Geologic MappingFrench-language works237,207