Zooplankton in Offshore Lake Ontario during Intensive Sampling Years 2003 and 2008: Results from the LOLA (Lake Ontario Lower foodweb Assessment) program
Bibliographic record
Abstract
Intensive sampling of the offshore waters of Lake Ontario occurs on a five-year cycle. The 2003 and 2008 binational sampling program is known as the Lake Ontario Lower foodweb Assessment (LOLA). Research cruises were conducted in spring (April), summer (July or August) and fall (September) along several north-south transects. This data package includes epilimnetic (surface layer) and whole water column measurements for zooplankton size (mm), density (#/m3) and biomass (mg dry weight/m3) by species for each site. Veliger size and density from these tows are included as a separate file. Other trophic indicators measured during this program include nutrients (total phosphorus, dissolved silica), water clarity (secchi depth), dissolved oxygen, chlorophyll a, and an assessment of phytoplankton, the microbial food web and the benthic community.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.005 |
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".