Grain size composition of marine surface sediments of the Canadian Arctic
Bibliographic record
Abstract
Grain size were measured on 141 marine surface and terrestrial sediment samples to study modern sediment dynamics within the Canadian Arctic (CA) and to provide an assessment of metals enrichment for V, Zn, Mn and Fe. Samples were collected from different areas between Baffin Bay and Beaufort Sea during several ArcticNet expeditions (2016-2022) onboard the Canadian Coast Guard icebreaker Amundsen. The ship helicopter was used to access terrestrial sampling sites. The marine sediments were sampled with a box corer (50cm x 50cm x 60cm) and the surface uppermost 1 cm of each box core was sampled. Push cores (10 cm diameter) were taken from each box core collected and the base (lowermost 1-2 cm) of 37 of these push cores were used in this study to establish a regional background. Grain size data were measured with a Malvern PANalytical Mastersizer 3000 laser diffraction grain-size analyzer.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.018 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".