Bibliographic record
Abstract
Palynology is the study of microfossils composed of highly resistant organic matter called palynomorphs. In the sediments of neritic environments, palynomorphs may include cysts of dinoflagellates, phycoma of prasinophytes, organic linings of benthic foraminifers and thecamoebians, in addition to inputs from the terrestrial vegetation (pollen grains and spores) or the freshwater biota (chlorococcales). Marine palynology is thus used for characterizing the type of sedimentary environment, identifying the source of organic matter in the sediment, and weighting the relative importance of fluvial and pelagic inputs. Among marine palynomorphs, dinoflagellate cysts or dinocysts usually dominate the assemblages. Dinocysts comprise phototrophic and heterotrophic taxa and occur in almost all aquatic environments. Along the continental margins, assemblages are usually characterized by high species diversity and cyst concentrations reaching up to 10 5 cysts cm -3 . The distribution of dinocyst assemblages in sediments shows latitudinal patterns in addition to onshore to offshore gradients. Multivariate analyses illustrate close relationships between dinocyst assemblages and sea-surface parameters such as sea-ice cover, salinity, temperature, seasonality and productivity. Transfer functions developed from dinocysts permit the reconstruction of sea-surface temperature and salinity and the evaluation of past productivity, with applications dealing with climate changes and eutrophication. Dinocysts are also used for the study of harmful algal blooms since a few taxa relate to toxic species.
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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 | 0.000 |
| Bibliometrics | 0.007 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".