Surface underway measurements partial pressure of carbon dioxide (pCO2) in the water and atmosphere, sea surface salinity, sea surface temperature, oxygen and other parameters during the Alaska Marine Highway System M/V Columbia 135 service route transits along British Columbia coast, southeast Alaska coast, Gulf of Alaska and North Pacific Ocean from 2017-10-26 to 2019-10-04 (NCEI Accession 0209049)
Bibliographic record
Abstract
This dataset includes continuous sea surface underway measurements of partial pressure of carbon dioxide (pCO2) in the water and atmosphere, sea surface salinity, sea surface temperature, oxygen and and barometric pressure during the Alaska Marine Highway System M/V Columbia 135 service route transits along British Columbia coast, southeast Alaska coast, Gulf of Alaska and North Pacific Ocean from 2017-10-26 to 2019-10-04. The service route of the Columbia included the ports of Sitka, Juneau, Haines, Skagway, Wrangell, Petersburg, and Ketchikan in southeast Alaska, and between Ketchikan and Bellingham, WA. The vessel sailed south from Ketchikan every Wednesday, arrived in Bellingham on Friday, returned to Ketchikan on Sunday, and transited between southeast Alaska terminals between Sunday and Wednesday. Measurements of temperature, salinity, dissolved oxygen content, and CO2 partial pressure were made every 2 mins on seawater drawn into the vessel from a ~2 m intake. Seawater was delivered from the intake to analytical equipment on the car deck using a AMT 1/2 HP pump (4295-98). Temperature and salinity data were collected using a Sea-Bird SBE 45 MicroTSG Thermosalinograph, and intake temperature measured using a SBE 38 Digital Oceanographic Thermometer. Dissolved oxygen content was determined using an Aanderaa 4330F that had undergone multipoint calibration at the factory in Norway. CO2 measurements were made using a General Oceanics 8050 (GO8050) pCO2 Measuring System equipped with a LI-COR LI840A non-dispersive infrared detector. All data streams, including GPS information from an antenna and atmospheric pressure from a Druck barometer positioned on the foredeck, were captured by the GO8050 control computer. Atmospheric CO2 measurements were also made using the GO8050 on unaltered marine air drawn to the system through an intake located on the foredeck. The CO2 measurement scheme involved the analysis of four gas standards of known CO2 content (150 ppm, 349 ppm, 449 ppm, and 850 ppm; Praxair Distributions Inc), 12 analyses atmospheric CO2, and 240 seawater CO2 measurements in a 8.5 hour period. The atmospheric and seawater CO2 analyses were run in a sequence of 3 atmospheric measurements and 60 seawater measurements that was repeated 4 times between standardization. This project was supported by the Tula Foundation and Alaska Ocean Observing System, and was a collaborative effort between the Hakai Institute, University of Washington Joint Institute for the Study of the Atmosphere and Ocean/NOAA Pacific Marine Environmental Laboratory, State of Alaska Department of Transportation, University of Alaska Southeast Alaska Coastal Rainforest Center, and the Alaska Ocean Observing System.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.012 |
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".