Bibliographic record
Abstract
During the last 170 years, data have gradually accumulated on the diatom life cycle, documenting its unique pattern, in which slow size reduction during vegetative cell divisions in the diploid phase alternates with rapid size restitution via a special cell—the auxospore. However, while the cytological events of auxosporulation are quite well understood and recent studies have begun to reveal some of the underlying genetic, physiological and biochemical controls, progress in documenting the phenology of reproduction has lagged behind. Currently, the principal advances in understanding the ecology of diatom reproduction are coming from studies of selected phytoplankton species. They demonstrate tight coupling between the diatom life cycle, population densities, and seasonal changes in the characteristics of the water column. For benthic diatoms—comprising by far the majority of diatom species—there is far less information, much of it anecdotal but nevertheless valuable. Here we make a comprehensive review of the occurrence of auxosporulation in natural populations of diatoms, revealing an unexpectedly strong seasonal pattern, with N Hemisphere maxima in March–April and late summer, which deserves further study. Meanwhile, transcriptomics is beginning to show how reproduction is triggered and controlled and how it may affect population growth and structure.
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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 | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".