The sediment accumulation record at glacier-fed Kinaskan Lake: Implications for changes in Holocene hydrology and climate in the Upper Iskut River watershed, British Columbia
Bibliographic record
Abstract
Acoustic sub-bottom profiles, sim;5 m vibra-cores and lake hydrology are used to reconstruct the sediment accumulation history in Kinaskan Lake of the Upper Iskut River watershed in northwestern British Columbia. The lake is dominated by turbidity currents in proximal regions, producing well-laminated sediments that accumulate at sim;4.4 mm/year. Overflows and interflows distribute silt and clay sediments to distal lake areas and accumulation decreases to sim;2 mm/year, forming well-defined couplets that are interpreted as varves. Sediment accumulation chronologies cover approximately the last 2000 years (Neoglacial interval) and demonstrate distinct patterns of above-average (or increasing) sediment accumulation thought to be associated with wetter and/or warmer conditions. This high resolution accumulation chronology is compared with lower resolution and longer duration environment histories from nearby lakes.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".