COR1404 MARGES Expedition in the San Jorge Gulf in 2014: Marine Geology Data, Sediment Characterization
Bibliographic record
Abstract
COR1404 MARGES Expedition took place from February 17th to March 4th 2014 on board the research vessel (R/V) Coriolis II. The general objective was to perform detailed geophysical surveys, and to collect different types of sediment samples in the San Jorge Gulf and adjacent continental shelf edge-upper slope area (Argentina). This dataset includes sample locations and high-resolution images of the cores (CT-scan and photo). Different sediment properties were analyzed, such as : physical properties (spectrophotometry [L* a* b*, RGB, XYZ, Munsell color], gamma density, P-wave velocity and amplitude, fractional porosity, resistivity and impedance), magnetic properties (magnetic susceptibility) and chemical properties ( X-ray fluorescence, 14C isotopic dating).
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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 | 0.000 | 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 | 0.000 | 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) | 0.000 | 0.000 |
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 teacher head, 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".