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Record W7154155109 · doi:10.21966/a0v4-x512

Seawater Carbon Dioxide (CO2) Content from the SuperCO2 System in the Pacific Ecosystem Autonomous Research Laboratory, Bamfield Marine Sciences Centre, BC, Canada (Provisional)

2025· dataset· W7154155109 on OpenAlexaboutno aff
Wiley Evans, Trevor Michalchuk, Lydia Pollock

Bibliographic record

VenueHakai Institute · 2025
Typedataset
Language
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsSeawaterMarine ecosystemShoreEcosystemCarbon dioxidePacific oceanMarine geologyCarbon dioxide in Earth's atmosphereCurrent (fluid)

Abstract

fetched live from OpenAlex

The Pacific Ecosystem Autonomous Research Laboratory (PEARL) at the Bamfield Marine Sciences Centre has been a site for shore-based and high-resolution measurement of surface seawater CO2 content since August 2025. Measurements of in situ temperature, salinity, and CO2 partial pressure are made near-continuously on seawater drawn from a sample line with an intake 15 m from shore and a depth of 1 m in Barkley Sound on the west coast of Vancouver Island. The effort to collect these data are part of the Hakai Institute’s mission to advance the understanding of carbon cycling in northeast Pacific coastal settings with specific emphasis on ocean acidification. This data contribution consists of provisional measurements spanning the current year.

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)0.002
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 score0.556
Threshold uncertainty score0.883

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.006
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.021

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 head0.050
GPT teacher head0.276
Teacher spread0.226 · 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

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