Bibliographic record
Abstract
In many quantitative studies of the oceanic carbon cycle, measurements of particulate organic carbon (POC) in seawater are used for mahng budgets of planktonic food webs. In order to evaluate the seasonal changes of the constituents of POC in a temperate sea area, the proportion of autotrophic and heterotrophic plankton biomass in POC was measured for different seasons. At both a coastal and an offshore station in the northern Baltic Sea, POC was dominated by unidenhfied detritus material. Autotrophlc rnicroplankton dominated the plankton biomass in spring, and free-living heterotrophic bactena in autumn and wlnter. The remaining plankton groups were of minor importance. The ratio of autotrophic plankton carbon to chlorophyll a (chl a) was determined by frequent sampling. and varied between 5 and 70 (pg I-'lpg 1-l), lowest in autumn-winter and highest in spring. Such variability makes it difficult to use constant conversion factors of chl a and POC to quantify plankton biomasses, and emphasizes the need for careful determination of conversion factors for specific environments and seasons.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.007 | 0.003 |
| Insufficient payload (model declined to judge) | 0.990 | 0.991 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".