Saint John Harbour Macroalgal & Phytoplankton Monitoring Project (2020-2023)
Bibliographic record
Abstract
This project provides a baseline survey of the macroalgae (seaweed) and phytoplankton of the Saint John Harbour and the microbiome of the nearby Musquash Estuary. Surveys were performed in Spring and Fall of 2020 and 2023 and encompassed 6 intertidal sites, 14 subtidal sites, 6 phytoplankton sites and 6 estuary sites. The provided data include: (1) quantitative intertidal counts of macroalgae based on morphological identification, (2) qualitative surveys of macroalgae present at each site based on molecular data (rbcL 3P), (3) eDNA of phytoplankton tows and (4) eDNA of estuarine mud scrapes. Quantitative macroalgal data were collected across a horizontal transect with 8 quadrats at each site in each of four sampling periods. Traditional molecular methods were used to generate the 3P end of the rbcL gene (for more details, see Saunders & Moore, 2013, https://doi.org/10.4490/algae.2013.28.1.031) and all eDNA data were generated by the Integrated Microbiome Resource at Dalhousie University. This project was funded by Fisheries and Oceans Canada's Coastal Environmental Baseline Program under the Oceans Protection Plan.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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; both teacher heads 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".