Discrete profile measurements of CO2 system and other hydrographic and chemical parameters sampled at the Hakai Institute Oceanographic Station QU39 in Northern Strait of Georgia, British Columbia, Canada from 2016-01-19 to 2023-12-19 (NCEI Accession 0297364)
Bibliographic record
Abstract
Carbon dioxide partial pressure (pCO2) and total dissolved inorganic carbon (TCO2) measurements were made on seawater collected from 12 depths at oceanographic station QU39 in the northern Strait of Georgia approximately every two weeks from January 2016 to December 2023. These data were collected as part of the Hakai Institute’s objective to report on patterns of ocean acidification in coastal British Columbia. Temperature, salinity, and pressure data were also captured using CTD profilers (either Sea-Bird Electronics or RBR units following best practices) at the time of seawater collection, and profile data was extracted for the depth at which Niskin bottles were tripped. Sampling depth was determined by calibrated line meter on the research vessel or RBR Solo pressure sensors attached to the Niskin bottle. Samples were fixed at the time of collection using 80 µl of mercuric chloride aboard the Hakai Institute’s research vessel. Temperature and salinity were determined at the time of sample analysis at the Quadra Island Field Station (QIFS) using NIST traceable thermometers (VWR PN 23609-176) and a YSI MultiLab 4010-1 with a MultiLab IDS 4310 conductivity and temperature probe. The YSI probe was calibrated using certified reference materials of known salinity prior to seawater sample analysis. For detailed protocols on sample collection and data processing, including CO2 system determination, please see Campbell et al. (2023; https://doi.org/10.21966/1.521066).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".