SBI: 2003 Helo Survey ISUS Nitrate Concentrations, Temperature, Salinity, and Density. Version 1.0
Bibliographic record
Abstract
As part of the Shelf-Basin Interactions (SBI) project, early spring sampling was performed in the eastern area of the SBI study area using aircraft. Flights began on 1 April 2003 and finished on 15 April. During this time, we sampled 42 sites (49 Conductivity Temperature Depth (CTD) casts) on a series of 5 transect lines which bracketed and were parallel to the SBI current meter mooring line located at 152 W longitude. Stations were about 10 km apart along each transect line. A map of the achieved sampling sites is available (file: Sw3loc4a.pdf) and station locations, sampling dates and times are found in the file, Sw3vit-4.csv. At sites 10 through 49, a Seabird CTD (SBE-25) and Satlantic In-Situ Ultraviolet Spectrophotometer (ISUS) nitrate analyzer with a water sampling bottle was deployed through an 8 inch hole augured through the pack-ice. Continuous profiles of pressure, temperature, salinity, and ISUS-sensed nitrate concentrations were made from the ice hole to either the sediment surface or to about 390 m. The ISUS was not used at CTD casts 1 through 9. CTD data were processed with Seabird software (Seasoft) and the data binned into 0.5 dbar layers. All basic CTD data are contained in another dataset as well as the nutrient data collected from the water sampling bottles. The ISUS samples at a relatively slow rate (3.5 Hz), and even though repeated vertical profiles were collected at each site, not all pressure bins contained ISUS measurements. Data herein include basic CTD data as well as the ISUS data (in its respective bin) converted to nitrate concentration, and the continuous ISUS nitrate profiles constructed by linearly interpolating binned data between two vertically adjacent ISUS averages. A complete description of the evaluation procedure for these ISUS data is being prepared for publication, so data herein are considered to be in draft form. The data are in csv format.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.033 | 0.027 |
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".