OECD Cooperative Programme On Eutrophication
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The OECD International Programme on Eutrophication has been \ndesigned for cross sectional comparison of lakes to provide management \nwith simple tools to evaluate nutrient reduction, particularly phosphorus, \nnecessary to alleviate excessive eutrophication. The scope of the \nCanadian programme was to test the applicability of the overall OECD \nresults on a set of data not included in the original elaboration with \nthree main objectives in mind: \na) clarification of the extent to which lakes of an unspecified \nnature exhibit statistical properties similar to the OECD lakes b) clarification and identification of the limits of transferability \nc) identification \nof conditions which need further evaluation. \nThe Canadian lakes data base represents a collection of formation from personal communication with various workers involved in \nmajor limnological projects as well as that contained in the literature. \nIt has been subdivided into seven major geographical regions which are \ntreated separately.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it