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Record W7154005959 · doi:10.21966/65d8-k051

Seawater Carbon Dioxide (CO2) Content from the Burke-o-Lator pCO2/TCO2 Analyzer located at Bamfield Marine Sciences Centre, Bamfield, BC, Canada (Provisional)

2023· dataset· W7154005959 on OpenAlexaboutno aff
Wiley Evans, Trevor Michalchuk, Katie Campbell, Carrie Weekes

Bibliographic record

VenueHakai Institute · 2023
Typedataset
Language
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsSeawaterCarbon dioxideSalinityCarbonateOcean chemistryCarbon dioxide in Earth's atmosphereCarbon fibers

Abstract

fetched live from OpenAlex

This dataset includes measurements of the partial pressure of carbon dioxide (pCO2), temperature, and salinity made on seawater drawn continuously from a 20-m intake at the Bamfield Marine Sciences Centre in Bamfield, BC, Canada. The collection of these data utilizes a Burke-o-Lator (BoL) pCO2/TCO2 analyzer and began August 30, 2023. The Burke-o-Lator (BoL) pCO2/TCO2 analyzer measures carbon dioxide partial pressure (pCO2) and total dissolved inorganic carbon (TCO2) from a flow-through seawater stream and from seawater collected in discrete samples. The BoL is paired with a SBE 45 Thermosalinograph to measure seawater temperature and salinity. These data provide valuable information on patterns in marine carbonate chemistry and ocean acidification within Barkley Sound waters being supplied to the Bamfield Marine Sciences Centre and the Nova Harvest Ltd. shellfish hatchery.

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)0.003
metaresearch head score (Gemma)0.002
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), 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 score0.157
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0040.003
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.005
Science and technology studies0.0040.004
Scholarly communication0.0010.001
Open science0.0080.008
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.016

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 head0.044
GPT teacher head0.243
Teacher spread0.199 · 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
Published2023
Admission routes1
Has abstractyes

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