Data to Prior exposure to stress allows the maintenance of an ecosystem cycle following severe acidification
Bibliographic record
Abstract
This freshwater mesocosm study was conducted in 19 out of 110 mesocosms at the Large Experimental Array of Ponds (LEAP) at the Gault Nature Reserve in Mont-St-Hilaire, QC, Canada (45°32' N, 73°08' W, 122 m a.s.l.) between May and October 2018 for a total of 147 days. On 24 May 2018, the mesocosms (1100L stock tanks, Rubbermaid, Huntersville, NC, USA) were filled with approximately 1000 liters of unfiltered lake water via a pipeline from oligotrophic Lac Hertel, located 1 km upstream of the experimental facility. These data consist of two datasets that were used for our paper. Dissolved oxygen as measured with data loggers (MiniDOTs, PME, Vista, California, USA) in 12 mesocosms Phytoplankton biomass as measured with a FluoroProbe (bbe Moldaenke, Schwentinental, Germany) in 19 mesocosms
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| 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) | 0.012 | 0.009 |
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".