Arctic Expedition aboard the CCGS Amundsen (2016)
Bibliographic record
Abstract
This dataset contains the complete expedition report, the expedition map as well as a list of stations and sampling types. The report describes the scientific expedition carried out in the Canadian Arctic between June 03 and September 17, 2016. The 2016 Expedition Report is a collection of all cruise reports produced by the participating research teams of the 2016 CCGS Amundsen summer expedition and assembled by the Chief Scientists at the end of their leg. This report also includes information about cruises carried out in support of ArcticNet’s mooring program and the maintenance of long-term ocean observatories in Hudson Bay (BaySys project) aboard the CGGS Des Groseilliers. The 2016 Expedition Report is divided into two parts: Part I provides an overview of the expedition, along with the ship track, the stations visited and a synopsis of operations conducted. It also covers the mooring program in Hudson Bay. Part II contains the reports submitted by participating science teams or researchers, with details on the specific objectives of their project, the field operations conducted and methodology used, and in some cases, preliminary results. When results are presented, they show the data as they were submitted at the end of the legs in 2016. The data presented in this report are illustrative only and have not been quality controlled, thus parties interested in the results should contact the project leader or the researchers who collected the data. The sections in Part II describing each project are organized with atmospheric, surface ocean and sea ice components first, followed by water column properties, which include the mooring program, CTD-Rosette operations and physical properties, as well as a suite of chemical and biological parameters. Contaminants cycling in seawater are also treated. Subsequent sections cover benthos sampling, seabed mapping, sediments sampling and ROV operations. Finally, the last sections present a summary of the School onboard program and of the the educational project of GreenEdge. The 2016 Expedition Report also includes four appendices: 1) the list of stations sampled, 2) the scientific log of activities conducted, 3) a copy of the CTD logbook and 4) the list of participants onboard during each leg. The core oceanographic data generated by the CTD-Rosette operations, as well as meteorological information (AAVOS, Environment Canada) and data collected using the Moving Vessel Profiler (MVP), the ship-mounted current meter (SM-ADCP) and the thermosalinograph (TSG) are available in the Polar Data Catalogue (PDC) at www.polardata.ca
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".