Phytoplankton phenology on the Scotian Shelf
Bibliographic record
Abstract
Abstract Zhai, L., Platt, T., Tang, C., Sathyendranath, S., and Hernández Walls, R. 2011. Phytoplankton phenology on the Scotian Shelf. – ICES Journal of Marine Science, 68: . The impact of physical forcing on seasonal and interannual phytoplankton dynamics was examined using SeaWiFS chlorophyll, AVHRR sea surface temperature (SST), nitrate, and other hydrographic measurements for the Scotian Shelf and Scotian Slope. The spring bloom was characterized by a shifted Gaussian function fitted to seasonal chlorophyll time-series. The background chlorophyll (a constant term in the Gaussian function) is a joint property of the stratification and bio-optics of the mixed layer. Rapid shoaling of the mixed-layer depth in spring promoted the early spring bloom on the middle Scotian Shelf and Slope, triggered when averaged light in the mixed layer reached 15 W m−2. The duration of the spring bloom was prolonged in slope water, resulting in a discontinuity in duration between the shelf and slope water masses. The position of the latitudinal discontinuity in duration was correlated with that of the shelf–slope front in SST. The amplitude of the spring bloom was correlated with the nitrate inventory in the surface layer at the end of winter. The rate of decrease (increase) in chlorophyll after the spring bloom was related to the depletion (resupply) of nitrate in summer. The position of the shelf–slope front influenced the interannual variability of bloom characteristics.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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".