Microzooplankton herbivory and bacterivory in the North Water Polynya
Bibliographic record
Abstract
Polynyas are regions of reduced ice cover in high latitude environments, which are ordinarily ice-covered. There are few comprehensive studies of microbial processes in polynyas although there are many of phytoplankton and metazoans which show their productivity is greater than surrounding regions. Here I report rates of growth of microbial prey and pattems of microzooplankton herbivory and bacterivory in the North Water Polynya (NOW), from April through July, 1998. Growth rates ranged from 0.0 to 1.1 day⁻¹ for phytoplankton and 0.0 to 1.2 day⁻¹ for bacteria. Highest bacterial grazing mortality was during July (1.3 day⁻¹) whereas for phytoplankton highest mortality was during late April (2.2 day⁻¹). Further investigation of protist size-dependent grazing, using high-resolution image analysis, indicated that microzooplankton were preferentially grazing small-sized bacteria. A substantial amount of carbon was channeled through the microbial food web in the NOW suggesting that microbial processes cycle large amounts of biogenic carbon in this polar region.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".