Supplementary material to "Predictive mapping of organic carbon stocks and accumulation rates in surficial sediments of the Canadian continental margin"
Bibliographic record
Abstract
The following plots show the final set of predictor variables available for predictive mapping of seafloor sediments across Canada.All plots are shown with the x-axis indicating the Longitude and y-axis the Latitude within the co-ordinate reference system EPSG:3573 WGS 84 -North Pole Lambert Azimuthal Equal Area Canada.The final resolution of all raster layers is 200 m x 200 m; however, they cannot be visually reproduced at this resolution at their full extent, therefore the display of the data inherently includes some aggregation.Plots are predominantly shown with a continuous colour scale from low values in grey and high values in green.Bioregion is shown as 12 discrete categories (see Table 2 of main text); BPI (benthic position index), VRM (vector ruggedness measure) and curvature measures are shown in quantile groups to better visualise spatial contrasts in the data.For some of the plots shown in a continuous colour scale, the delineation between lower values may not be visually apparent due to highly right skewed data.For further information on the methods and data sources see Table 1 and Sections 2.2 and 2.3 of the main text.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.546 | 0.102 |
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".