Late Quaternary dinoflagellate cysts record abrupt climate changes along the California margin
Bibliographic record
Abstract
Understanding abrupt environmental changes, including those caused by the rapidly warming oceans, requires a compilation of paleoenvironmental data obtained from marine sedimentary archives, such as Ocean Drilling Program (ODP) cores. Dinoflagellate cysts serve as sensitive and reliable indicators of past environments, and their application has gained prominence over the last decades, especially for high-resolution studies in the northeastern Pacific Ocean. Dinoflagellates are one of the most diverse and abundant groups of microalgae in coastal environments and are major primary producers. Many dinoflagellates form highly resistant organic-walled resting cysts that accumulate in sediments throughout their life cycle. The records of these microfossils provide valuable information about upper water masses at the time of cyst deposition.In this presentation, we summarize insights gained from two high-resolution dinoflagellate cyst sedimentary records — one from the California Margin (ODP Hole 1017E) and the other one from the Santa Barbara Basin (SBB; ODP Hole 893A). Census data of cysts from the Holocene and the Last Interglacial (Over and Pospelova, 2022) enable us to identify shifts in ecosystems responding to climate change. These data were used for quantitative and qualitative reconstructions of past sea-surface temperatures, salinity, primary productivity, and potentially significant forest fires during the warm Dansgaard-Oeschger interstadial event 2 (~23,000 years ago).
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".