A novel protocol for identifying storm derived waves on substrate reworking in lakes: implications for selection of optimal sites for paleolimnological research
Bibliographic record
Abstract
Harvey Lake, located within the Atlantic region of Canada, endures many storms, including Hurricane Arthur in 2014, and likely archives lake sediment records including past storm signals.Lakes are often characterized by a single central site, rather than a suite of sites, due to cost and time constraints.This research sought to develop a novel geomatics protocol to optimize coring site selection using a multi-site (n = 96) characterization.Areas prone to resuspension were modeled using lake morphology and historical wind speed records .Modeled resuspension areas agreed with the spatial distribution of sedimentary proxies (i.e., grain size and Itrax-XRF).End member mixing analysis identified a very coarse grain end member that likely reflects the deposition of resuspended sediments.In addition to the central basin, our approach highlighted Herbert's Cove as a suitable coring target as it was in closer proximity to a source of allochthonous sedimentation (i.e., catchment hydrological signal).
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".