Subpolar gyre variability, Cruise No. MSM54, May 12 - June 04, 2016, St. John's (Canada) - Reykjavik (Iceland)
Bibliographic record
Abstract
The core working program of the Maria S. Merian expedition MSM54 was dedicated to the re-deployment of moored instrumentation and the acquisition of data from the water column in the Labrador and Irminger Sea regions. Moored instrumentation, programed for high temporal resolution sampling (<1 hour) and installed at distinct locations in the Labrador and Irminger Seas, determine the local evolution of physical properties (temperature, salinity, density, currents). Continuous installations of such system over many years provide the observational base for the analysis of systematic dynamical and hydrographic variability and eventually long term changes of the interior ocean. In a global context only a few of such long lasting ocean- reference-stations exists. Along selected sections the hydrographic (temperature, salinity, density), oxygen, and currents structure was determined using data from CTD/O2/(l)ADCP systems. These systems operate over the full water depth, from the surface to the ocean bottom. Moreover, quasi-continuous underway data collection was performed using the Thermosalinograph (Temperature, Salinity), and surface meteorological observations, but also ship mounted ADCP systems (currents in upper 500 to 1000m). The cruise contributed to the investigations that are done in the national RACE program, and in the international NACLIM (EU) and AtlantOS (EU) projects, and the OSNAP and VITALS initiatives.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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; 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".