Comparison of shipboard and satellite measurements of surface water temperature and chlorophyll <i>a</i> in Lake Ontario
Bibliographic record
Abstract
The binational Lake Ontario Lower Aquatic Foodweb Assessment program (LOLA) intensively sampled Lake Ontario in the Spring (April 28-May 3), Summer (August 10–11 and August 19–21) and Fall (September 21–25) of 2003. However, the timing of shipboard surveys often misses critical periods in biological productivity. We directly compared surface water temperature and chlorophyll a (chl a) measurements made during these cruises to Moderate Resolution Imaging Spectroradiometer (MODIS) satellite images for May 3, August 18, and September 21, 2003. Satellite measurements were strongly correlated to shipboard measurements for surface water temperature (r2 = 0.98) and chl a (r2 = 0.62, offshore sites only). The OC4 algorithm for chl a greatly overestimated nearshore sites because of the probable presence of color producing agents other than chl a. However, its relative reliability for offshore sites adds confidence in using the imagery to fill the gaps between sampling cruises.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".