Conductivity-Temperature-Depth (CTD) and Geochemistry Data from 2023 Expedition of the Canadian Coast Guard Ship Louis S. St-Laurent to the Beaufort Gyre
Bibliographic record
Abstract
Contains data from a hydrographic cruise conducted about the aboard the Canadian Coast Guard Ship (CCGS) Louis S. St-Laurent, September 14th to October 12th, 2023 under the Beaufort Gyre Observing System (BGOS)/Joint Ocean Ice Study (JOIS). Data were collected under the National Science Foundation (NSF) award "AON (Arctic Observing Network) Collaborative Research: Continuation of long-term Beaufort Gyre observations in 2020-2024 to enhance understanding of the Arctic's role in climate variability" in collaboration with researchers from Fisheries and Oceans Canada at the Institute of Ocean Sciences (Bill Williams and Sarah Zimmermann, Institute of Ocean Sciences). There were 56 conductivity temperature depth (CTD) casts performed using a SBE911+ CTD system with 24 10-Liter (L) Niskins. The CTD data for down casts are provided in 1-decibar (db) averaged files (*.cnv), in Seabird's text format with one file per cast and separate files. Cruise documentation is available as a text file. Geochemistry data are provided in a separate excel spreadsheet.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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; both teacher heads agree on what is shown here.
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".