Baie de Mille-Vaches marsh - Characterization of important coastal habitats on the north shore of the St.Lawrence maritime Estuary
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
A project to characterize important coastal habitats on the north shore of the St. Lawrence Estuary was funded for a period of 4 years (2018-2022). The purpose of this project is to generate reference ecological data to draw a global portrait of the state of coastal marshes in the upper north shore sector of Quebec. This dataset covers the area of the Baie de Mille-Vaches marsh, also known as Pointe à Boisvert (Municipality of Longue-Rive). In order to improve knowledge of this ecosystem, flora and fauna (ichthyological and benthic) inventories have been carried out and the various abiotic factors characterized. Geomorphological data was also collected, but is not included in this dataset. However, they remain available, contact the ZIP Committee of the North Shore of the Estuary (RNE) directly to access them. The ZIP RNE Committee also holds orthomosaics of the marsh. It is possible to consult the five other marsh datasets that were characterized as part of the project to characterize important coastlines: The Pointe-aux-Outardes Marsh, Portneuf-sur-Mer Marsh, Pointe des Fortin Marsh, Bays des Grandes and Petites Bergeronnes, Hickey Marsh. This project is part of the Coastal Environmental Baseline Program Initiative under the Oceans Protection Plan of Fisheries and Oceans Canada.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it