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Record W6944799819 · doi:10.21966/1.715784

Water column CO2 system measurements collected during the 2016 National Oceanic and Atmospheric Administration West Coast Ocean Acidification survey (NOAA WCOA2016) from California to British Columbia

2018· dataset· en· W6944799819 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueHakai Institute · 2018
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsSeawaterCruiseWater columnSampling (signal processing)Hydrology (agriculture)Water qualityCarbon dioxideWest coast

Abstract

fetched live from OpenAlex

Carbon dioxide partial pressure (pCO2) and total dissolved inorganic carbon (TCO2) measurements were made on seawater collected from 12 depths at select stations occupied during the 2016 National Oceanic and Atmospheric Administration West Coast Ocean Acidification survey (NOAA WCOA2016) from California to British Columbia. NOAA cruise data collected during this survey are available from the National Centers for Environmental Information (https://www.nodc.noaa.gov/ocads/oceans/Coastal/WCOA.html). Hakai Institute staff (Evans) collected data only during the second leg of the survey from May 24 to June 7. Information describing the cruise plan and cruise blog can be found on the NOAA Pacific Marine Environmental Laboratory (PMEL) website (https://www.pmel.noaa.gov/co2/story/2016+West+Coast+Ocean+Acidification+Cruise). Seawater sampling during this cruise was conducted using a conductivity-temperature-depth (CTD) profiler coupled with a 24-Niskin (11-L) bottle rosette. Seawater collection was concentrated in the upper 200 m at standard depths: 3 m, 10 m, 20 m, 30 m, 50 m, 80 m, 100 m, 125 m, 150 m, and 200 m. Two additional deeper depths were sampled when the water column exceeded 200 m. Additional shallow depths were sampled at the Hakai Institute’s oceanographic station QU39 (http://dx.doi.org/10.21966/1.715738). Samples were drawn from the Niskin bottles with care not to introduce bubbles into 350 mL amber glass bottles using silicone tubing, and left with 3 mL of headspace. Samples were then fixed with 200 µL of mercuric chloride and crimp-sealed with polyethylene-lined metal caps. Samples were stored in the dark and at room temperature until analysis on the Hakai Institute’s Burke-o-Lator (BoL). For detailed protocols on data processing including CO2 system determination, and quality assurance, please see Pocock et al. (2017; http://dx.doi.org/10.21966/1.521066). Final CO2 system parameters (pHT, pCO2, and aragonite saturature state) were computed using (primary) CTD temperature and salinity, and BoL determined total CO2 (TCO2) corrected using certified reference materials and alkalinity (Alk) using the carbonic acid dissociation constants of Lueker et al. (2000). Calculations were done relative to in situ pressure. Note Alk here is assumed here to consist of carbonate, bicarbonate, borate, hydroxide, and hydrogen ions; neglecting the influence of nutrients and organic acids. The effort to collect these data are part of the Hakai Institute’s directive to advance the understanding of carbon cycling in northeast Pacific coastal settings with specific emphasis on ocean acidification.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, 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: Dataset
Teacher disagreement score0.643
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.006

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 head0.028
GPT teacher head0.241
Teacher spread0.212 · 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
Published2018
Admission routes1
Has abstractyes

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