Investigating the timing of Saanich Inlet's summer mini-blooms
Bibliographic record
Abstract
Saanich Inlet is an inverse estuary located on the Saanich Peninsula which hosts different levels of primary production throughout the year, dependent on light and nutrient availability. The summer cycle of productivity has been investigated through modelling (Gargett et al., 2003) and shown to relate to spring tides which cause a fortnightly reversal in the direction of estuarine flow. This drives upwelling, bringing nutrient-rich water (of higher salinity) to the surface for phytoplankton to use. The goal of this project was to visualize this reversal process in order to draw conclusions about the timing of increased phytoplankton biomass after spring tidal events. Chlorophyll and salinity data taken in 2014, 2016 and 2022 from the Ocean Networks Canada Buoy Profiling System moored in Saanich Inlet was used, averaging casts over depth and through time. In conjunction with tidal height data from nearby Patricia Bay, the average time lag between spring/neap tidal events and max/min surface salinities was determined to be seven days. With increases in salinity taking around five days to lead to increased biomass, this showed the time lag between spring tidal events and increased biomass to be in the range of nine to fourteen days.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".