Le marais salé de la Grande Baie (Port-Cartier) - Caractérisation des habitats littoraux d'importance de la Côte-Nord du golfe du Saint-Laurent
Bibliographic record
Abstract
The purpose of this project is to generate ecological reference data to draw a global portrait of the state of coastal marshes in the Côte-Nord sector of Quebec, as part of the Coastal Environmental Reference Data Program, funded by the Department of Fisheries and Oceans Canada, funded by the Department of Fisheries and Oceans Canada. The program to characterize coastal wetlands in the North Shore of the Gulf of St. Lawrence was subsidized for a period of 4 years (2023-2027). This dataset covers the marsh area from Grande Baie to Port-Cartier. In order to acquire as much knowledge as possible about the North Shore territory, the Comité ZIP Côte-Nord du Golfe (ZIP CNG) carried out ichthyological and floristic inventories, and characterized the physicochemical parameters as well as the abiotic factors of the marsh in the summer of 2023.
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.
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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| 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; 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".